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Professor Michael Beer

Professor of Uncertainty in Engineering
Civil and Environmental Engineering
Part of
School of Engineering
Faculty of Science and Engineering

Contact

M.Beer@liverpool.ac.uk

Publications

Selected publications

  1. <i>L<sub>p</sub></i>-norm minimization for stochastic process power spectrum estimation subject to incomplete data (Journal article - 2018)
  2. An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks (Journal article - 2018)
  3. Component importance measures for complex repairable system (Conference Paper - 2016)
  4. Learning from accidents: interactions between human factors, technology and organisations as a central element to validate risk studies (Journal article - 2017)
  5. Imprecise system reliability and component importance based on survival signature (Journal article - 2016)
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2025

2024

Spectral incremental dynamic methodology for nonlinear structural systems endowed with fractional derivative elements subjected to fully non-stationary stochastic excitation

Ni, P., Mitseas, I. P., Fragkoulis, V. C., & Beer, M. (2024). Spectral incremental dynamic methodology for nonlinear structural systems endowed with fractional derivative elements subjected to fully non-stationary stochastic excitation. Structural Safety, 111, 102525. doi:10.1016/j.strusafe.2024.102525

DOI
10.1016/j.strusafe.2024.102525
Journal article

Seismic topology optimization considering first-passage probability by incorporating probability density evolution method and bi-directional evolutionary structural optimization

Yang, J. -S., Chen, J. -B., & Beer, M. (2024). Seismic topology optimization considering first-passage probability by incorporating probability density evolution method and bi-directional evolutionary structural optimization. Engineering Structures, 314, 118382. doi:10.1016/j.engstruct.2024.118382

DOI
10.1016/j.engstruct.2024.118382
Journal article

Determining the significant contributing factors to the occurrence of human errors in the urban construction projects: A Delphi-SWARA study approach

Sarvari, H., Baghbaderani, A. B., Chan, D. W. M., & Beer, M. (2024). Determining the significant contributing factors to the occurrence of human errors in the urban construction projects: A Delphi-SWARA study approach. Technological Forecasting and Social Change, 205, 123512. doi:10.1016/j.techfore.2024.123512

DOI
10.1016/j.techfore.2024.123512
Journal article

Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts

Sarvari, H., Asaadsamani, P., Olawumi, T. O., Chan, D. W. M., Rashidi, A., & Beer, M. (n.d.). Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts. Architectural Engineering and Design Management, 1-21. doi:10.1080/17452007.2024.2329687

DOI
10.1080/17452007.2024.2329687
Journal article

Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring

Wang, Z. -W., Lu, X. -F., Zhang, W. -M., Fragkoulis, V. C., Zhang, Y. -F., & Beer, M. (2024). Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring. Journal of Wind Engineering and Industrial Aerodynamics, 247, 105679. doi:10.1016/j.jweia.2024.105679

DOI
10.1016/j.jweia.2024.105679
Journal article

Failure probability estimation of dynamic systems employing relaxed power spectral density functions with dependent frequency modeling and sampling

Behrendt, M., Lyu, M. -Z., Luo, Y., Chen, J. -B., & Beer, M. (2024). Failure probability estimation of dynamic systems employing relaxed power spectral density functions with dependent frequency modeling and sampling. Probabilistic Engineering Mechanics, 75, 103592. doi:10.1016/j.probengmech.2024.103592

DOI
10.1016/j.probengmech.2024.103592
Journal article

Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads

Jerez, D. J., Fragkoulis, V. C., Ni, P., Mitseas, I. P., Valdebenito, M. A., Faes, M. G. R., & Beer, M. (2024). Operator norm-based determination of failure probability of nonlinear oscillators with fractional derivative elements subject to imprecise stationary Gaussian loads. Mechanical Systems and Signal Processing, 208, 111043. doi:10.1016/j.ymssp.2023.111043

DOI
10.1016/j.ymssp.2023.111043
Journal article

Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines

Mao, W., Zhang, W., Feng, K., Beer, M., & Yang, C. (2024). Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines. Reliability Engineering and System Safety, 242, 109695. doi:10.1016/j.ress.2023.109695

DOI
10.1016/j.ress.2023.109695
Journal article

Assessing updated seismic performance of existing structures by stochastic model updating

Kitahara, M., Bi, S., Broggi, M., & Beer, M. (2022). Assessing updated seismic performance of existing structures by stochastic model updating. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 265-270). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-09-086-cd

DOI
10.3850/978-981-18-5184-1_ms-09-086-cd
Conference Paper

Bounding Failure Probabilities in Imprecise Stochastic FE models

G. R. Faes, M., Fina, M., Valdebenito, M. A., Lauff, C., Wagner, W., Freitag, S., & Beer, M. (2022). Bounding Failure Probabilities in Imprecise Stochastic FE models. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 498-501). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-15-141-cd

DOI
10.3850/978-981-18-5184-1_ms-15-141-cd
Conference Paper

Classification of power spectra from data sets with high spectral variance for reliability, analysis of dynamic structures

Behrendt, M., Kitahara, M., Kitahara, T., Comerford, L., & Beer, M. (2022). Classification of power spectra from data sets with high spectral variance for reliability, analysis of dynamic structures. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 323-328). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-11-160-cd

DOI
10.3850/978-981-18-5184-1_ms-11-160-cd
Conference Paper

Comparison of state of the art sampling-based Bayesian Updating techniques

Dodt, M. B., Kitahara, M., Broggi, M., & Beer, M. (2022). Comparison of state of the art sampling-based Bayesian Updating techniques. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 59-66). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-02-146-cd

DOI
10.3850/978-981-18-5184-1_ms-02-146-cd
Conference Paper

Deep learning-driven interval uncertainty propagation for aeronautical structures

SHI, Y., & BEER, M. (2024). Deep learning-driven interval uncertainty propagation for aeronautical structures. Chinese Journal of Aeronautics. doi:10.1016/j.cja.2024.05.009

DOI
10.1016/j.cja.2024.05.009
Journal article

Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of, Multidomain Line Sampling

Valdebenito, M., Wei, P., Song, J., Beer, M., & Broggi, M. (2022). Estimation of First Excursion Probability in Stochastic Linear Dynamics by means of, Multidomain Line Sampling. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 369-372). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-12-153-cd

DOI
10.3850/978-981-18-5184-1_ms-12-153-cd
Conference Paper

Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis

Fina, M., G. R. Faes, M., Valdebenito, M. A., Wagner, W., Broggi, M., Beer, M., & Freitag, S. (2022). Estimation of Second-order Statistics of Buckling Loads Applying Linear and Nonlinear Analysis. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 502-507). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-15-145-cd

DOI
10.3850/978-981-18-5184-1_ms-15-145-cd
Conference Paper

Estimation of response expectation function under hybrid uncertainties by parallel Bayesian quadrature optimization

Dang, C., Wei, P., Faes, M., & Beer, M. (2022). Estimation of response expectation function under hybrid uncertainties by parallel Bayesian quadrature optimization. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 160-165). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-06-123-cd

DOI
10.3850/978-981-18-5184-1_ms-06-123-cd
Conference Paper

First-passage Probability Estimation of Stochastic Dynamic Systems by a Parametric Approach

Ding, C., Dang, C., Broggi, M., & Beer, M. (2022). First-passage Probability Estimation of Stochastic Dynamic Systems by a Parametric Approach. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 40-46). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-01-175-cd

DOI
10.3850/978-981-18-5184-1_ms-01-175-cd
Conference Paper

Frequency comparison of the pulse-like and non-pulse ground motions

Chen, G., Liu, Y., & Beer, M. (2022). Frequency comparison of the pulse-like and non-pulse ground motions. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 277-281). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-09-134-cd

DOI
10.3850/978-981-18-5184-1_ms-09-134-cd
Conference Paper

How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty

Winnewisser, N. R., Potthast, T., Mett, F., Perin, A., Broggi, M., & Beer, M. (n.d.). How to Be Certain: Using Known Relations and Trust Discount to Determine Confidence About the Degree of Uncertainty. In e-Journal of Nondestructive Testing Vol. 29. NDT.net GmbH & Co. KG. doi:10.58286/29669

DOI
10.58286/29669
Conference Paper

Model Parameter Updating of the Seismic-Isolated Bridge Pier Using Modified TMCMC

Kitahara, T., Kitahara, M., & Beer, M. (2022). Model Parameter Updating of the Seismic-Isolated Bridge Pier Using Modified TMCMC. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 309-312). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-11-085-cd

DOI
10.3850/978-981-18-5184-1_ms-11-085-cd
Conference Paper

Physic-informed probabilistic analysis with Bayesian machine learning in augmented space

Hong, F., Wei, P., Song, J., G.R. Faes, M., Valdebenito, M. A., & Beer, M. (2022). Physic-informed probabilistic analysis with Bayesian machine learning in augmented space. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 152-159). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-06-055-cd

DOI
10.3850/978-981-18-5184-1_ms-06-055-cd
Conference Paper

Preface

Beer, M., Zio, E., Phoon, K. K., & Ayyub, B. M. (2024). Preface. Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022, v-vi. doi:10.3850/978-981-18-5184-1_prelims

DOI
10.3850/978-981-18-5184-1_prelims
Journal article

Random Failure Mechanism Method in Optimal Borehole Placement for Shallow Foundation Design Under Spatially Variable Conditions

Chwała, M., Jerez, D. J., Jensen, H. A., & Beer, M. (2022). Random Failure Mechanism Method in Optimal Borehole Placement for Shallow Foundation Design Under Spatially Variable Conditions. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 439-446). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-13-188-cd

DOI
10.3850/978-981-18-5184-1_ms-13-188-cd
Conference Paper

Random-interval hybrid reliability analysis by a parallel active learning Kriging method with a pseudo weighted expected risk function

Liu, J., Dang, C., & Beer, M. (2022). Random-interval hybrid reliability analysis by a parallel active learning Kriging method with a pseudo weighted expected risk function. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 508-514). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-15-221-cd

DOI
10.3850/978-981-18-5184-1_ms-15-221-cd
Conference Paper

Reliability analysis of landslides based on the random finite element method (ISRERM 2022)

Feng, C., Broggi, M., & Beer, M. (2022). Reliability analysis of landslides based on the random finite element method (ISRERM 2022). In 8th International Symposium on Reliability Engineering and Risk Management (pp. 600-605). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-18-103-cd

DOI
10.3850/978-981-18-5184-1_ms-18-103-cd
Conference Paper

Resilience Decision-Making for Complex and Substructured Systems

Salomon, J., Behrensdorf, J., Winnewisser, N., Broggi, M., & Beer, M. (2022). Resilience Decision-Making for Complex and Substructured Systems. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 530-537). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-16-191-cd

DOI
10.3850/978-981-18-5184-1_ms-16-191-cd
Conference Paper

Response of an MDOF Nonlinear System with Constraints Under Combined Deterministic and Non-stationary Stochastic Excitation

Ni, P., Fragkoulis, V. C., Kong, F., Mitseas, I. P., & Beer, M. (2022). Response of an MDOF Nonlinear System with Constraints Under Combined Deterministic and Non-stationary Stochastic Excitation. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 22-26). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-01-139-cd

DOI
10.3850/978-981-18-5184-1_ms-01-139-cd
Conference Paper

Robust SHM: Redundancy approach with different sensor integration levels for long life monitoring systems

Bartels, J. -H., Potthast, T., Möller, S., Grießmann, T., Rolfes, R., Beer, M., & Marx, S. (n.d.). Robust SHM: Redundancy approach with different sensor integration levels for long life monitoring systems. In e-Journal of Nondestructive Testing Vol. 29. NDT.net GmbH & Co. KG. doi:10.58286/29699

DOI
10.58286/29699
Conference Paper

Simulation and risk evaluation of possible superstorms hitting Europe's north sea coast

Sun, Y., Bittner, M., Zhang, Y., & Beer, M. (2022). Simulation and risk evaluation of possible superstorms hitting Europe's north sea coast. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 629-634). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-19-105-cd

DOI
10.3850/978-981-18-5184-1_ms-19-105-cd
Conference Paper

Stochastic Response Analysis of a Piezoelectric Harvesting Device Subjected to Non-stationary Wind Loading

Pasparakis, G. D., Fragkoulis, V. C., Kong, F., & Beer, M. (2022). Stochastic Response Analysis of a Piezoelectric Harvesting Device Subjected to Non-stationary Wind Loading. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 27-33). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-01-140-cd

DOI
10.3850/978-981-18-5184-1_ms-01-140-cd
Conference Paper

Stochastic process generation from relaxed power spectra utilising stochastic harmonic functions

Behrendt, M., Bittner, M., & Beer, M. (2022). Stochastic process generation from relaxed power spectra utilising stochastic harmonic functions. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 52-58). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-01-220-cd

DOI
10.3850/978-981-18-5184-1_ms-01-220-cd
Conference Paper

The Log-Rayleigh Distribution for Local Maxima of spectrally Represented Log-normal Processes

Grashorn, J., Bittner, M., Wang, C., & Beer, M. (2022). The Log-Rayleigh Distribution for Local Maxima of spectrally Represented Log-normal Processes. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 793-799). Research Publishing Services. doi:10.3850/978-981-18-5184-1_gs-05-108-cd

DOI
10.3850/978-981-18-5184-1_gs-05-108-cd
Conference Paper

Uncertainty Quantification Over Spectral Estimation of Stochastic Processes Subject to Gapped Missing Data Using Variational Bayesian Inference

Chen, Y., Patelli, E., Beer, M., & Edwards, B. (2022). Uncertainty Quantification Over Spectral Estimation of Stochastic Processes Subject to Gapped Missing Data Using Variational Bayesian Inference. In 8th International Symposium on Reliability Engineering and Risk Management (pp. 173-178). Research Publishing Services. doi:10.3850/978-981-18-5184-1_ms-06-179-cd

DOI
10.3850/978-981-18-5184-1_ms-06-179-cd
Conference Paper

2023

Imprecise Survival Signature Approximation Using Interval Predictor Models

Behrensdorf, J., Broggi, M., & Beer, M. (2023). Imprecise Survival Signature Approximation Using Interval Predictor Models. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 506-511). IEEE. doi:10.1109/ssci52147.2023.10371939

DOI
10.1109/ssci52147.2023.10371939
Conference Paper

Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial

Bi, S., Beer, M., Cogan, S., & Mottershead, J. (2023). Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial. Mechanical Systems and Signal Processing, 204. doi:10.1016/j.ymssp.2023.110784

DOI
10.1016/j.ymssp.2023.110784
Journal article

Transmissibility-based damage detection with hierarchical clustering enhanced by multivariate probabilistic distance accommodating uncertainty and correlation

Mei, L. -F., Yan, W. -J., Yuen, K. -V., Ren, W. -X., & Beer, M. (2023). Transmissibility-based damage detection with hierarchical clustering enhanced by multivariate probabilistic distance accommodating uncertainty and correlation. Mechanical Systems and Signal Processing, 203, 110702. doi:10.1016/j.ymssp.2023.110702

DOI
10.1016/j.ymssp.2023.110702
Journal article

Machine Learning Assisted Network Resilience Design

Shi, Y., & Beer, M. (2023). Machine Learning Assisted Network Resilience Design. In ASCE Inspire 2023 (pp. 673-682). American Society of Civil Engineers. doi:10.1061/9780784485163.079

DOI
10.1061/9780784485163.079
Conference Paper

Resilience Capacity of Civil Structures and Infrastructure Systems

Wang, C., Ayyub, B. M., & Beer, M. (2023). Resilience Capacity of Civil Structures and Infrastructure Systems. In ASCE Inspire 2023 (pp. 459-466). American Society of Civil Engineers. doi:10.1061/9780784485163.055

DOI
10.1061/9780784485163.055
Conference Paper

The Concept of Diagonal Approximated Signature: New Surrogate Modeling Approach for Continuous-State Systems

Winnewisser, N. R., Salomon, J., Broggi, M., & Beer, M. (2023). The Concept of Diagonal Approximated Signature: New Surrogate Modeling Approach for Continuous-State Systems. In ASCE Inspire 2023 (pp. 258-266). American Society of Civil Engineers. doi:10.1061/9780784485163.031

DOI
10.1061/9780784485163.031
Conference Paper

Structural design optimization under dynamic reliability constraints based on probability density evolution method and quantum-inspired optimization algorithm

Weng, L. -L., Yang, J. -S., Chen, J. -B., & Beer, M. (2023). Structural design optimization under dynamic reliability constraints based on probability density evolution method and quantum-inspired optimization algorithm. Probabilistic Engineering Mechanics, 74, 103494. doi:10.1016/j.probengmech.2023.103494

DOI
10.1016/j.probengmech.2023.103494
Journal article

Special Section on Community Resilience to Disruptive Events: Models and Analyses, Lessons Learned, and Case Studies

Wang, C., Faes, M. G. R., Beer, M., Zio, E., & van de Lindt, J. W. (2023). Special Section on Community Resilience to Disruptive Events: Models and Analyses, Lessons Learned, and Case Studies. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 9(3). doi:10.1115/1.4062982

DOI
10.1115/1.4062982
Journal article

Distribution-free stochastic model updating with staircase density functions

Kitahara, M., Kitahara, T., Bi, S., Broggi, M., & Beer, M. (2023). Distribution-free stochastic model updating with staircase density functions. In Life-Cycle of Structures and Infrastructure Systems (pp. 670-677). CRC Press. doi:10.1201/9781003323020-81

DOI
10.1201/9781003323020-81
Chapter

Efficient posterior estimation for stochastic SHM using transport maps

Grashorn, J., Broggi, M., Chamoin, L., & Beer, M. (2023). Efficient posterior estimation for stochastic SHM using transport maps. In Life-Cycle of Structures and Infrastructure Systems (pp. 678-685). CRC Press. doi:10.1201/9781003323020-82

DOI
10.1201/9781003323020-82
Chapter

Environmental influence on structural health monitoring systems

Bartels, J. -H., Kitahara, M., Marx, S., & Beer, M. (2023). Environmental influence on structural health monitoring systems. In Life-Cycle of Structures and Infrastructure Systems (pp. 662-669). CRC Press. doi:10.1201/9781003323020-80

DOI
10.1201/9781003323020-80
Chapter

First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach

Ding, C., Dang, C., Valdebenito, M. A., Faes, M. G. R., Broggi, M., & Beer, M. (2023). First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach. Mechanical Systems and Signal Processing, 185, 109775. doi:10.1016/j.ymssp.2022.109775

DOI
10.1016/j.ymssp.2022.109775
Journal article

A Two-Phase Sampling Approach for Reliability-Based Optimization in Structural Engineering

Jerez, D. J., Jensen, H. A., & Beer, M. (2023). A Two-Phase Sampling Approach for Reliability-Based Optimization in Structural Engineering. In Springer Series in Reliability Engineering (pp. 21-48). Springer Nature Switzerland. doi:10.1007/978-3-031-28859-3_2

DOI
10.1007/978-3-031-28859-3_2
Chapter

Fourier Transform and Other Quadratic Problems Under Interval Uncertainty

Galindo, O., Ibarra, C., Kreinovich, V., & Beer, M. (2023). Fourier Transform and Other Quadratic Problems Under Interval Uncertainty. In Studies in Systems, Decision and Control (pp. 251-256). Springer International Publishing. doi:10.1007/978-3-031-16415-6_37

DOI
10.1007/978-3-031-16415-6_37
Chapter

Fuzzy Probability Theory

Beer, M. (2023). Fuzzy Probability Theory. In Encyclopedia of Complexity and Systems Science Series (pp. 51-75). Springer US. doi:10.1007/978-1-0716-2628-3_237

DOI
10.1007/978-1-0716-2628-3_237
Chapter

Regression Models for Machine Learning

Wei, P., & Beer, M. (2023). Regression Models for Machine Learning. In Computational Methods in Engineering &amp; the Sciences (pp. 341-371). Springer International Publishing. doi:10.1007/978-3-031-36644-4_9

DOI
10.1007/978-3-031-36644-4_9
Chapter

Resilience of structural infrastructure

Beer, M. (2023). Resilience of structural infrastructure. Bauingenieur, 98(5), A-3.

Journal article

Robust SHM Systems Using Bayesian Model Updating

Bartels, J. H., Potthast, T., Kitahara, M., Marx, S., & Beer, M. (2023). Robust SHM Systems Using Bayesian Model Updating. In Proceedings of the International Offshore and Polar Engineering Conference (pp. 272-278).

Conference Paper

UNCERTAINTYQUANTIFICATION.JL: A NEW FRAMEWORK FOR UNCERTAINTY QUANTIFICATION IN JULIA

Behrensdorf, J., Gray, A., Broggi, M., & Beer, M. (2023). UNCERTAINTYQUANTIFICATION.JL: A NEW FRAMEWORK FOR UNCERTAINTY QUANTIFICATION IN JULIA. In Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019) (pp. 419-436). Institute of Structural Analysis and Antiseismic Research National Technical University of Athens. doi:10.7712/120223.10347.19810

DOI
10.7712/120223.10347.19810
Conference Paper

2022

Determining the effective factors leading to incidence of human error accidents in industrial parks construction projects: results of a fuzzy Delphi survey

Rafieyan, A., Sarvari, H., Beer, M., & Chan, D. W. M. (2022). Determining the effective factors leading to incidence of human error accidents in industrial parks construction projects: results of a fuzzy Delphi survey. International Journal of Construction Management, 1-13. doi:10.1080/15623599.2022.2159630

DOI
10.1080/15623599.2022.2159630
Journal article

New Cycle of the ASCE Journals’ Early Career Editorial Board

Beer, M. (2022). New Cycle of the ASCE Journals’ Early Career Editorial Board. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(4). doi:10.1061/ajrua6.0001268

DOI
10.1061/ajrua6.0001268
Journal article

Special Section on Decommissioning and Life Extension of Complex Industrial Assets

Moura, R., Beer, M., de Souza, G. F. M., & Patelli, E. (2022). Special Section on Decommissioning and Life Extension of Complex Industrial Assets. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 8(4). doi:10.1115/1.4055799

DOI
10.1115/1.4055799
Journal article

An approximate stochastic dynamics approach for design spectrum based response analysis of nonlinear structural systems with fractional derivative elements

Kougioumtzoglou, I. A., Ni, P., Mitseas, I. P., Fragkoulis, V. C., & Beer, M. (2022). An approximate stochastic dynamics approach for design spectrum based response analysis of nonlinear structural systems with fractional derivative elements. International Journal of Non-Linear Mechanics, 146, 104178. doi:10.1016/j.ijnonlinmec.2022.104178

DOI
10.1016/j.ijnonlinmec.2022.104178
Journal article

On the use of Directional Importance Sampling for reliability-based design and optimum design sensitivity of linear stochastic structures

Jerez, D. J., Jensen, H. A., Valdebenito, M. A., Misraji, M. A., Mayorga, F., & Beer, M. (2022). On the use of Directional Importance Sampling for reliability-based design and optimum design sensitivity of linear stochastic structures. Probabilistic Engineering Mechanics, 103368. doi:10.1016/j.probengmech.2022.103368

DOI
10.1016/j.probengmech.2022.103368
Journal article

Hazard-Resilient Infrastructure: Analysis and Design

Beer, M. (2022). Hazard-Resilient Infrastructure: Analysis and Design. NATURAL HAZARDS REVIEW, 23(3). doi:10.1061/(ASCE)NH.1527-6996.0000562

DOI
10.1061/(ASCE)NH.1527-6996.0000562
Journal article

Excitation–response relationships for linear structural systems with singular parameter matrices: A periodized harmonic wavelet perspective

Pasparakis, G. D., Kougioumtzoglou, I. A., Fragkoulis, V. C., Kong, F., & Beer, M. (2022). Excitation–response relationships for linear structural systems with singular parameter matrices: A periodized harmonic wavelet perspective. Mechanical Systems and Signal Processing, 169, 108701. doi:10.1016/j.ymssp.2021.108701

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Journal article

A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling

Persoons, A., Wei, P., Bogaerts, L., Moens, D., Broggi, M., & Beer, M. (2022). A new scheme combining adaptive Kriging with adaptative variance-reduction using Gaussian mixture importance sampling. In Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (pp. 4985-4998).

Conference Paper

Assessing the Severity of Missing Data Problems with the Interval Discrete Fourier Transform Algorithm

Behrendt, M., Angelis, M. D., Comerford, L., & Beer, M. (2022). Assessing the Severity of Missing Data Problems with the Interval Discrete Fourier Transform Algorithm. In Book of Extended Abstracts for the 32nd European Safety and Reliability Conference (pp. 2553-2560). Research Publishing Services. doi:10.3850/978-981-18-5183-4_s14-05-243-cd

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Conference Paper

Capturing Epistemic Uncertainties in the Power Spectral Density for Limited Data Sets

Behrendt, M., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2022). Capturing Epistemic Uncertainties in the Power Spectral Density for Limited Data Sets. In Probabilistic Safety Assessment and Management, PSAM 2022.

Conference Paper

Epistemic Uncertainty Quantification of Localised Seismic Power Spectral Densities

Bittner, M., Behrendt, M., Behrensdorf, J., & Beer, M. (2022). Epistemic Uncertainty Quantification of Localised Seismic Power Spectral Densities. In Probabilistic Safety Assessment and Management, PSAM 2022.

Conference Paper

Uncertainty Quantification Over Spectral Density Estimation for Strong Motion Process with Missing Data

Chen, Y., Patelli, E., Edwards, B., Beer, M., & Sunny, J. (2022). Uncertainty Quantification Over Spectral Density Estimation for Strong Motion Process with Missing Data. In Book of Extended Abstracts for the 32nd European Safety and Reliability Conference (pp. 1852-1858). Research Publishing Services. doi:10.3850/978-981-18-5183-4_s02-04-389-cd

DOI
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Conference Paper

2021

Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL-Decomposition and Interval Fields

Beer, M., Kosheleva, O., & Kreinovich, V. (2021). Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL-Decomposition and Interval Fields. In 2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021). doi:10.1109/SSCI50451.2021.9660145

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10.1109/SSCI50451.2021.9660145
Conference Paper

Response Determination of Nonlinear Systems with Singular Matrices Subject to Combined Stochastic and Deterministic Excitations

Ni, P., Fragkoulis, V. C., Kong, F., Mitseas, I. P., & Beer, M. (2021). Response Determination of Nonlinear Systems with Singular Matrices Subject to Combined Stochastic and Deterministic Excitations. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(4), 04021049. doi:10.1061/ajrua6.0001167

DOI
10.1061/ajrua6.0001167
Journal article

Non-probabilistic uncertainty quantification for dynamic characterization functions using complex ratio interval arithmetic operation of multidimensional parallelepiped model

Zhao, M. -Y., Yan, W. -J., Yuen, K. -V., & Beer, M. (2021). Non-probabilistic uncertainty quantification for dynamic characterization functions using complex ratio interval arithmetic operation of multidimensional parallelepiped model. Mechanical Systems and Signal Processing, 156, 107559. doi:10.1016/j.ymssp.2020.107559

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10.1016/j.ymssp.2020.107559
Journal article

Sensitivity Analysis of an Aircraft Engine Model Under Consideration of Dependent Variables

Salomon, J., Göing, J., Lück, S., Broggi, M., Friedrichs, J., & Beer, M. (2021). Sensitivity Analysis of an Aircraft Engine Model Under Consideration of Dependent Variables. In Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture. American Society of Mechanical Engineers. doi:10.1115/gt2021-58905

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10.1115/gt2021-58905
Conference Paper

Handling the Uncertainty with Confidence in Human Reliability Analysis

Morais, C., Ferson, S., Moura, R., Tolo, S., Beer, M., & Patelli, E. (2021). Handling the Uncertainty with Confidence in Human Reliability Analysis. In Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021) (pp. 3312-3318). Research Publishing Services. doi:10.3850/978-981-18-2016-8_575-cd

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Conference Paper

STOCHASTIC NONLINEAR RESPONSE OF STRUCTURAL SYSTEMS ENDOWED WITH SINGULAR MATRICES SUBJECT TO COMBINED PERIODIC AND STOCHASTIC EXCITATIONS

Ni, P., Fragkoulis, V. C., Kong, F., Mitseas, I. P., Beer, M., & Fragiadakis, M. (2021). STOCHASTIC NONLINEAR RESPONSE OF STRUCTURAL SYSTEMS ENDOWED WITH SINGULAR MATRICES SUBJECT TO COMBINED PERIODIC AND STOCHASTIC EXCITATIONS. In Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015) (pp. 5367-5373). Institute of Structural Analysis and Antiseismic Research National Technical University of Athens. doi:10.7712/120121.8872.20780

DOI
10.7712/120121.8872.20780
Conference Paper

2020

A unified scheme to solving arbitrary complex-valued ratio distribution with application to statistical inference for raw frequency response functions and transmissibility functions

Yan, W. -J., Zhao, M. -Y., Beer, M., Ren, W. -X., & Chronopoulos, D. (2020). A unified scheme to solving arbitrary complex-valued ratio distribution with application to statistical inference for raw frequency response functions and transmissibility functions. Mechanical Systems and Signal Processing, 145, 106886. doi:10.1016/j.ymssp.2020.106886

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10.1016/j.ymssp.2020.106886
Journal article

Special Section on Uncertainty Management in Complex Multiphysics Structural Dynamics

Special Section on Uncertainty Management in Complex Multiphysics Structural Dynamics (2020). (Vol. 6).

DOI
10.1115/1.4047097
Edited special journal issue

Guest Editorial

Feng, G., Beer, M., Coolen, F. P. A., Ayyub, B. M., & Phoon, K. K. (2020). Guest Editorial. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 6(2).

Journal article

Special section on resilience of engineering systems

Feng, G., Beer, M., Coolen, F. P. A., Ayyub, B. M., & Phoon, K. -K. (2020). Special Section on Resilience of Engineering Systems. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 6(2). doi:10.1115/1.4046473

Journal article

A PDEM-COM framework for quantification of epistemic uncertainty

Wan, Z., Chen, J., Li, J., & Beer, M. (2020). A PDEM-COM framework for quantification of epistemic uncertainty. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 2622-2627). doi:10.3850/978-981-11-2724-30969-cd

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Conference Paper

BAYESIAN MODEL UPDATING FOR EXISTING SEISMIC-ISOLATED BRIDGES USING OBSERVED ACCELERATION RESPONSE DATA

Kitahara, M., Broggi, M., & Beer, M. (2020). BAYESIAN MODEL UPDATING FOR EXISTING SEISMIC-ISOLATED BRIDGES USING OBSERVED ACCELERATION RESPONSE DATA. In Proceedings of the XI International Conference on Structural Dynamics (pp. 3558-3566). EASD. doi:10.47964/1120.9291.18937

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10.47964/1120.9291.18937
Conference Paper

Breaking the Double Loop: Operator Norm Theory as a Tool to Compute with Imprecise Probabilities

Faes, M. G. R., Valdebenito, M. A., Moens, D., & Beer, M. (2020). Breaking the Double Loop: Operator Norm Theory as a Tool to Compute with Imprecise Probabilities. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (pp. 4957-4963). Research Publishing Services. doi:10.3850/978-981-14-8593-0_5707-cd

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Conference Paper

Common cause failure importance analysis for aerospace systems

Mi, J., Beer, M., Li, Y. F., Broggi, M., & Cheng, Y. (2020). Common cause failure importance analysis for aerospace systems. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 2325-2331). doi:10.3850/978-981-11-2724-30855-cd

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Conference Paper

Components Importance Ranking Considering the Effect of Epistemic Uncertainty

Song, J., Lu, Z., & Beer, M. (2019). Components Importance Ranking Considering the Effect of Epistemic Uncertainty. In Proceedings of the 29th European Safety and Reliability Conference (ESREL) (pp. 1743-1749). Research Publishing Services. doi:10.3850/978-981-11-2724-3_0724-cd

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Conference Paper

Decision Making for Optimal Primary-Support Selection to Minimise Tunnel- Squeezing Risk

Chen, Y., Patelli, E., Zeng, P., Edwards, B., Li, T., & Beer, M. (2020). Decision Making for Optimal Primary-Support Selection to Minimise Tunnel- Squeezing Risk. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (pp. 2257-2264). Research Publishing Services. doi:10.3850/978-981-14-8593-0_4170-cd

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10.3850/978-981-14-8593-0_4170-cd
Conference Paper

Decision making for optimal primary-support selection to minimise tunnel-squeezing risk

Chen, Y., Patelli, E., Zeng, P., Edwards, B., Li, T., & Beer, M. (2020). Decision making for optimal primary-support selection to minimise tunnel-squeezing risk. In 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 (pp. 2257-2264).

Conference Paper

Efficient Reliability Analysis of an Axial Compressor in Consideration of Epistemic Uncertainty

Salomon, J., Winnewisser, N., Wei, P., Broggi, M., & Beer, M. (2020). Efficient Reliability Analysis of an Axial Compressor in Consideration of Epistemic Uncertainty. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (pp. 4791-4798). Research Publishing Services. doi:10.3850/978-981-14-8593-0_3685-cd

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Conference Paper

Efficient propagation of imprecise probability models by imprecise line sampling

Wei, P., Song, J., Valdebenito, M. A., & Beer, M. (2020). Efficient propagation of imprecise probability models by imprecise line sampling. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 2072-2077). doi:10.3850/978-981-11-0745-00994-cd

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Conference Paper

Efficient reliability analysis of an axial compressor in consideration of epistemic uncertainty

Salomon, J., Winnewisser, N., Wei, P., Broggi, M., & Beer, M. (2020). Efficient reliability analysis of an axial compressor in consideration of epistemic uncertainty. In 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 (pp. 4791-4798).

Conference Paper

Imprecise stochastic dynamics via operator norm theory

Faes, M. G. R., Valdebenito, M. A., Beer, M., & Moens, D. (2020). Imprecise stochastic dynamics via operator norm theory. In PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2020) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2020) (pp. 3707-3717). Retrieved from https://www.webofscience.com/

Conference Paper

Measuring systemic risk for mechanical structures using conditional probability

Eckert, C., & Beer, M. (2020). Measuring systemic risk for mechanical structures using conditional probability. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 4316-4320). doi:10.3850/978-981-11-0745-0-1137-cd

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Conference Paper

Model updating of model parameters and model form error in a uniform framework

Bi, S., Wagner, N., Beer, M., & Ouisse, M. (2020). Model updating of model parameters and model form error in a uniform framework. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 2679-2684). doi:10.3850/978-981-11-2724-30972-cd

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Conference Paper

Multidimensional resilience decision-making on a multistage high-speed axial compressor

Salomon, J., Behrensdorf, J., Broggi, M., Weber, S., & Beer, M. (2020). Multidimensional resilience decision-making on a multistage high-speed axial compressor. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 1357-1364). doi:10.3850/978-981-11-2724-30992-cd

DOI
10.3850/978-981-11-2724-30992-cd
Conference Paper

PARAMETER INVESTIGATION OF RELAXED UNCERTAIN POWER SPECTRA FOR STOCHASTIC DYNAMIC SYSTEMS

Behrendt, M., Bittner, M., Comerford, L., Broggi, M., & Beer, M. (2020). PARAMETER INVESTIGATION OF RELAXED UNCERTAIN POWER SPECTRA FOR STOCHASTIC DYNAMIC SYSTEMS. In Proceedings of the XI International Conference on Structural Dynamics (pp. 3803-3815). EASD. doi:10.47964/1120.9311.18861

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Conference Paper

Preface

Beer, M., & Zio, E. (2020). Preface. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019.

Conference Paper

Probabilistic modelling for frequency response functions and transmissibility functions with complex ratio statistics

Zhao, M. Y., Yan, W. J., Ren, W. X., & Beer, M. (2020). Probabilistic modelling for frequency response functions and transmissibility functions with complex ratio statistics. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 2714-2718). doi:10.3850/978-981-11-2724-30827-cd

DOI
10.3850/978-981-11-2724-30827-cd
Conference Paper

Rare event modelling for stochastic dynamic systems approximated by the probability density evolution method

Bittner, M., Broggi, M., & Beer, M. (2020). Rare event modelling for stochastic dynamic systems approximated by the probability density evolution method. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 2719-2726). doi:10.3850/978-981-11-2724-30735-cd

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10.3850/978-981-11-2724-30735-cd
Conference Paper

Tackling the lack of data for human error probability with Credal network

Morais, C., Tolo, S., Moura, R., Beer, M., & Patelli, E. (2020). Tackling the lack of data for human error probability with Credal network. In Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 382-386). doi:10.3850/978-981-11-2724-30746-cd

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Conference Paper

2019

Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings

Behrendt, M., Comerford, L., & Beer, M. (2019). Development of a Relaxed Stationary Power Spectrum using Imprecise Probabilities with Application to High-rise Buildings. In 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) (pp. 784-790). Retrieved from https://www.webofscience.com/

Conference Paper

Sensitivity analysis of prior beliefs in advanced Bayesian networks

He, L., Beer, M., Broggi, M., Wei, P., & Gomes, A. T. (2019). Sensitivity analysis of prior beliefs in advanced Bayesian networks. In 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) (pp. 776-783). Retrieved from https://www.webofscience.com/

Conference Paper

Computation of Hybrid Uncertainty and Dependent Failure in System Reliability Analysis and Assessment

Song, Y. -F., Mi, J., Cheng, Y., Beer, M., & Broggi, M. (2019). Computation of Hybrid Uncertainty and Dependent Failure in System Reliability Analysis and Assessment. In 2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE) (pp. 774-782). IEEE. doi:10.1109/qr2mse46217.2019.9021202

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10.1109/qr2mse46217.2019.9021202
Conference Paper

A collocation scheme for deep uncertainty treatment

Dannert, M. M., Fau, A., Fleury, R. M. N., Broggi, M., Nackenhorst, U., & Beer, M. (2019). A collocation scheme for deep uncertainty treatment. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

A collocation scheme for deep uncertainty treatment

Dannert, M. M., Fau, A., Fleury, R. M. N., Broggi, M., Nackenhorst, U., & Beer, M. (2019). A collocation scheme for deep uncertainty treatment. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

A collocation scheme for deep uncertainty treatment

Dannert, M. M., Fau, A., Fleury, R. M. N., Broggi, M., Nackenhorst, U., & Beer, M. (2019). A collocation scheme for deep uncertainty treatment. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

A collocation scheme for deep uncertainty treatment

Dannert, M. M., Fau, A., Fleury, R. M. N., Broggi, M., Nackenhorst, U., & Beer, M. (2019). A collocation scheme for deep uncertainty treatment. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis

Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2019). An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis

Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2019). An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis

Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2019). An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis

Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2019). An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Identification of system matrices based on experimental modal analysis and its application in structural health monitoring

Bi, S., Beer, M., Ouisse, M., & Foltête, E. (2019). Identification of system matrices based on experimental modal analysis and its application in structural health monitoring. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Identification of system matrices based on experimental modal analysis and its application in structural health monitoring

Bi, S., Beer, M., Ouisse, M., & Foltête, E. (2019). Identification of system matrices based on experimental modal analysis and its application in structural health monitoring. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Identification of system matrices based on experimental modal analysis and its application in structural health monitoring

Bi, S., Beer, M., Ouisse, M., & Foltête, E. (2019). Identification of system matrices based on experimental modal analysis and its application in structural health monitoring. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Identification of system matrices based on experimental modal analysis and its application in structural health monitoring

Bi, S., Beer, M., Ouisse, M., & Foltête, E. (2019). Identification of system matrices based on experimental modal analysis and its application in structural health monitoring. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?

Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?

Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?

Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?

Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach?. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Pathways for uncertainty quantification through stochastic damage constitutive models of concrete

Wan, Z., Chen, J., & Beer, M. (2019). Pathways for uncertainty quantification through stochastic damage constitutive models of concrete. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Pathways for uncertainty quantification through stochastic damage constitutive models of concrete

Wan, Z., Chen, J., & Beer, M. (2019). Pathways for uncertainty quantification through stochastic damage constitutive models of concrete. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Pathways for uncertainty quantification through stochastic damage constitutive models of concrete

Wan, Z., Chen, J., & Beer, M. (2019). Pathways for uncertainty quantification through stochastic damage constitutive models of concrete. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Pathways for uncertainty quantification through stochastic damage constitutive models of concrete

Wan, Z., Chen, J., & Beer, M. (2019). Pathways for uncertainty quantification through stochastic damage constitutive models of concrete. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

RELAXED STATIONARY POWER SPECTRUM MODEL USING IMPRECISE PROBABILITIES

Behrendt, M., Comerford, L., & Beer, M. (2019). RELAXED STATIONARY POWER SPECTRUM MODEL USING IMPRECISE PROBABILITIES. In Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015) (pp. 592-599). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120119.6941.19045

DOI
10.7712/120119.6941.19045
Conference Paper

Rare failure event analysis of structures under mixed uncertainties

Wei, P., Bi, S., Zhang, Y., & Beer, M. (2019). Rare failure event analysis of structures under mixed uncertainties. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Rare failure event analysis of structures under mixed uncertainties

Wei, P., Bi, S., Zhang, Y., & Beer, M. (2019). Rare failure event analysis of structures under mixed uncertainties. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Rare failure event analysis of structures under mixed uncertainties

Wei, P., Bi, S., Zhang, Y., & Beer, M. (2019). Rare failure event analysis of structures under mixed uncertainties. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Rare failure event analysis of structures under mixed uncertainties

Wei, P., Bi, S., Zhang, Y., & Beer, M. (2019). Rare failure event analysis of structures under mixed uncertainties. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Stochastic processes identification from data ensembles via power spectrum classification

Behrendt, M., Comerford, L., & Beer, M. (2019). Stochastic processes identification from data ensembles via power spectrum classification. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Stochastic processes identification from data ensembles via power spectrum classification

Behrendt, M., Comerford, L., & Beer, M. (2019). Stochastic processes identification from data ensembles via power spectrum classification. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Stochastic processes identification from data ensembles via power spectrum classification

Behrendt, M., Comerford, L., & Beer, M. (2019). Stochastic processes identification from data ensembles via power spectrum classification. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Stochastic processes identification from data ensembles via power spectrum classification

Behrendt, M., Comerford, L., & Beer, M. (2019). Stochastic processes identification from data ensembles via power spectrum classification. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Tightening the bound estimate of structural reliability under imprecise probability information

Wang, C., Zhang, H., & Beer, M. (2019). Tightening the bound estimate of structural reliability under imprecise probability information. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Tightening the bound estimate of structural reliability under imprecise probability information

Wang, C., Zhang, H., & Beer, M. (2019). Tightening the bound estimate of structural reliability under imprecise probability information. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Tightening the bound estimate of structural reliability under imprecise probability information

Wang, C., Zhang, H., & Beer, M. (2019). Tightening the bound estimate of structural reliability under imprecise probability information. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

Tightening the bound estimate of structural reliability under imprecise probability information

Wang, C., Zhang, H., & Beer, M. (2019). Tightening the bound estimate of structural reliability under imprecise probability information. In 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019.

Conference Paper

2018

A polynomial expansion approach for response analysis of periodical composite structural-acoustic problems with multi-scale mixed aleatory and epistemic uncertainties

Chen, N., Hu, Y., Yu, D., Liu, J., & Beer, M. (2018). A polynomial expansion approach for response analysis of periodical composite structural-acoustic problems with multi-scale mixed aleatory and epistemic uncertainties. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 342, 509-531. doi:10.1016/j.cma.2018.08.021

DOI
10.1016/j.cma.2018.08.021
Journal article

Efficient Reliability and Risk Analysis of Complex Interconnected Systems

Behrensdorf, J., Broggi, M., & Beer, M. (2018). Efficient Reliability and Risk Analysis of Complex Interconnected Systems. In RESILIENCE ENGINEERING FOR URBAN TUNNELS (pp. 43-54). Retrieved from https://www.webofscience.com/

Conference Paper

Reliability of Critical Infrastructure Networks: Challenges

Zuev, K. M., & Beer, M. (2018). Reliability of Critical Infrastructure Networks: Challenges. In RESILIENCE ENGINEERING FOR URBAN TUNNELS (pp. 71-82). Retrieved from https://www.webofscience.com/

Conference Paper

Utilising database-driven interactive software to enhance independent home-study in a flipped classroom setting: going beyond visualising engineering concepts to ensuring formative assessment

Comerford, L., Mannis, A., DeAngelis, M., Kougioumtzoglou, I. A., & Beer, M. (2018). Utilising database-driven interactive software to enhance independent home-study in a flipped classroom setting: going beyond visualising engineering concepts to ensuring formative assessment. EUROPEAN JOURNAL OF ENGINEERING EDUCATION, 43(4), 522-537. doi:10.1080/03043797.2017.1293617

DOI
10.1080/03043797.2017.1293617
Journal article

An efficient reliability analysis on complex non-repairable systems with common-cause failures

Feng, G., George-Williams, H., Patelli, E., Coolen, F. P. A., & Beer, M. (2018). An efficient reliability analysis on complex non-repairable systems with common-cause failures. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 2531-2537). Retrieved from https://www.webofscience.com/

Conference Paper

Application of fuzzy finite element method in addressing the presence of uncertainties

Yusmye, A. Y. N., Ariffin, A. K., Abdullah, S., Singh, S. S. K., & Beer, M. (2018). Application of fuzzy finite element method in addressing the presence of uncertainties. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 2701-2706). Retrieved from https://www.webofscience.com/

Conference Paper

Imprecise reliability analysis of complex interconnected networks

Behrensdorf, J., Broggi, M., & Beer, M. (2018). Imprecise reliability analysis of complex interconnected networks. In SAFETY AND RELIABILITY - SAFE SOCIETIES IN A CHANGING WORLD (pp. 2589-2594). Retrieved from https://www.webofscience.com/

Conference Paper

Bayesian model updating using stochastic distances as uncertainty quantification metrics

Bi, S., Broggi, M., Beer, M., & Zhang, Y. (2018). Bayesian model updating using stochastic distances as uncertainty quantification metrics. In PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018) (pp. 5157-5167). Retrieved from https://www.webofscience.com/

Conference Paper

What If We Do Not Know Correlations?

Beer, M., Gong, Z., Neumann, I., Sriboonchitta, S., & Kreinovich, V. (2018). What If We Do Not Know Correlations?. In ECONOMETRICS FOR FINANCIAL APPLICATIONS (Vol. 760, pp. 78-85). doi:10.1007/978-3-319-73150-6_5

DOI
10.1007/978-3-319-73150-6_5
Chapter

2017

Learning from accidents: interactions between human factors, technology and organisations as a central element to validate risk studies

Moura, R., beer, M., Patelli, E., Lewis, J., & Knoll, F. (2017). Learning from accidents: interactions between human factors, technology and organisations as a central element to validate risk studies. Safety Science, 99(Part B), 196-214. doi:10.1016/j.ssci.2017.05.001

DOI
10.1016/j.ssci.2017.05.001
Journal article

Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure

Broggi, M., Faes, M., Patelli, E., Govers, Y., Moens, D., & Beer, M. (2017). Comparison of Bayesian and interval uncertainty quantification: Application to the AIRMOD test structure. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. doi:10.1109/ssci.2017.8280882

DOI
10.1109/ssci.2017.8280882
Conference Paper

How Accurate Are Expert Estimations of Correlation?

Beer, M., Gong, Z., Diaz De La, O. F. A., & Kreinovich, V. (2017). How Accurate Are Expert Estimations of Correlation?. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-9). IEEE. doi:10.1109/ssci.2017.8280790

DOI
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Conference Paper

Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines

Comerford, L., Beer, M., & Lu, N. (2017). Revealing prediction uncertainty in artificial neural network based reconstruction of missing data in stochastic process records utilizing extreme learning machines. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-7). IEEE. doi:10.1109/ssci.2017.8285295

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10.1109/ssci.2017.8285295
Conference Paper

Special Issue on Complex Engineered Networks: Reliability, Risk, and Uncertainty

Zuev, K. M., & Beer, M. (2017). Special Issue on Complex Engineered Networks: Reliability, Risk, and Uncertainty. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 3(2). doi:10.1115/1.4036240

DOI
10.1115/1.4036240
Journal article

Bayesian model calibration using subset simulation

Gong, Z. T., DiazDelaO, F. A., & Beer, M. (2017). Bayesian model calibration using subset simulation. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 293-298). Retrieved from https://www.webofscience.com/

Conference Paper

Bayesian model calibration using subset simulation

Gong, Z. T., DiazDelaO, F. A., & Beer, M. (2017). Bayesian model calibration using subset simulation. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 50).

Conference Paper

Comparison of Bayesian and Interval Uncertainty Quantification: Application to the AIRMOD Test Structure

Broggi, M., Faes, M., Patelli, E., Govers, Y., Moens, D., & Beer, M. (2017). Comparison of Bayesian and Interval Uncertainty Quantification: Application to the AIRMOD Test Structure. In 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp. 1684-1691). Retrieved from https://www.webofscience.com/

Conference Paper

Component importance measures for complex repairable system

Feng, G., Patelli, E., Beer, M., & Coolen, F. P. A. (2017). Component importance measures for complex repairable system. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 252).

Conference Paper

EFFICIENT RELIABILITY AND UNCERTAINTY ASSESSMENT ON LIFELINE NETWORKS USING THE SURVIVAL SIGNATURE

Feng, G., Reed, S., Patelli, E., Beer, M., & Coolen, F. P. A. (2017). EFFICIENT RELIABILITY AND UNCERTAINTY ASSESSMENT ON LIFELINE NETWORKS USING THE SURVIVAL SIGNATURE. In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017) (pp. 90-99). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120217.5354.16865

DOI
10.7712/120217.5354.16865
Conference Paper

How Accurate Are Expert Estimations of Correlation?

Beer, M., Gong, Z., Diaz De La, F. A. O., & Kreinovich, V. (2017). How Accurate Are Expert Estimations of Correlation?. In 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp. 883-891). Retrieved from https://www.webofscience.com/

Conference Paper

Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of design

Moura, R., Beer, M., Patelli, E., Lewis, J., & Knoll, F. (2017). Learning from accidents: Investigating the genesis of human errors in multi-attribute settings to improve the organisation of design. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 38).

Conference Paper

Numerically efficient reliability analysis of interdependent networks

Behrensdorf, J., Broggi, M., Brandt, S., & Beer, M. (2017). Numerically efficient reliability analysis of interdependent networks. In Safety and Reliability – Theory and Applications (pp. 342). CRC Press. doi:10.1201/9781315210469-298

DOI
10.1201/9781315210469-298
Conference Paper

Revealing Prediction Uncertainty in Artificial Neural Network Based Reconstruction of Missing Data in Stochastic Process Records utilizing Extreme Learning Machines

Comerford, L., Beer, M., & Lu, N. (2017). Revealing Prediction Uncertainty in Artificial Neural Network Based Reconstruction of Missing Data in Stochastic Process Records utilizing Extreme Learning Machines. In 2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI) (pp. 871-877). Retrieved from https://www.webofscience.com/

Conference Paper

SAMPLING SCHEMES FOR HISTORY MATCHING USING SUBSET SIMULATION

Gong, Z., Díaz De la O, F. A., & Beer, M. (2017). SAMPLING SCHEMES FOR HISTORY MATCHING USING SUBSET SIMULATION. In Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017) (pp. 154-164). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120217.5359.16948

DOI
10.7712/120217.5359.16948
Conference Paper

Sensitivity analysis for bayesian networks with interval probabilities

Tolo, S., Patelli, E., & Beer, M. (2017). Sensitivity analysis for bayesian networks with interval probabilities. In Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 (pp. 52).

Conference Paper

Survival signature approach for the reliability analysis of an axial compressor

Miro, S., Broggi, M., Beer, M., Willeke, T., & Seume, J. (2017). Survival signature approach for the reliability analysis of an axial compressor. In Safety and Reliability – Theory and Applications (pp. 344). CRC Press. doi:10.1201/9781315210469-300

DOI
10.1201/9781315210469-300
Conference Paper

2016

Component importance measures for complex repairable system

Feng, G., Patelli, E., Beer, M., & Coolen, F. P. A. (2017). Component importance measures for complex repairable system. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 1580-1585). Retrieved from https://www.webofscience.com/

Conference Paper

Sensitivity analysis for Bayesian networks with interval probabilities

Tolo, S., Patelli, E., & Beer, M. (2017). Sensitivity analysis for Bayesian networks with interval probabilities. In RISK, RELIABILITY AND SAFETY: INNOVATING THEORY AND PRACTICE (pp. 306-312). Retrieved from https://www.webofscience.com/

Conference Paper

Nonlinear MDOF system Survival Probability Determination Subject to Evolutionary Stochastic Excitation

Mitseas, I. P., Kougioumtzoglou, I. A., Spanos, P. D., & Beer, M. (2016). Nonlinear MDOF system Survival Probability Determination Subject to Evolutionary Stochastic Excitation. STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, 62(7-8), 440-451. doi:10.5545/sv-jme.2016.3752

DOI
10.5545/sv-jme.2016.3752
Journal article

An approximate stochastic dynamics approach for nonlinear structural system performance-based multi-objective optimum design

Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2016). An approximate stochastic dynamics approach for nonlinear structural system performance-based multi-objective optimum design. STRUCTURAL SAFETY, 60, 67-76. doi:10.1016/j.strusafe.2016.01.003

DOI
10.1016/j.strusafe.2016.01.003
Journal article

Why Modified exponential covariance kernel is empirically successful: A theoretical explanation

Kosheleva, O., & Beer, M. (2016). Why Modified exponential covariance kernel is empirically successful: A theoretical explanation. Journal of Uncertain Systems, 10(1), 10-14.

Journal article

Approximate fuzzy analysis of linear structural systems applying intervening variables

Valdebenito, M. A., Perez, C. A., Jensen, H. A., & Beer, M. (2016). Approximate fuzzy analysis of linear structural systems applying intervening variables. COMPUTERS & STRUCTURES, 162, 116-129. doi:10.1016/j.compstruc.2015.08.020

DOI
10.1016/j.compstruc.2015.08.020
Journal article

2015

Special Issue: Civil-Comp

Tsompanakis, Y., Ivanyi, P., Beck, A. T., Beer, M., Costa Neves, L. F., Girardi, M., . . . Topping, B. H. V. (2015). Special Issue: Civil-Comp. ADVANCES IN ENGINEERING SOFTWARE, 89, 1-2. doi:10.1016/j.advengsoft.2015.08.007

DOI
10.1016/j.advengsoft.2015.08.007
Journal article

Compressive Sensing for power spectrum estimation of multi-dimensional processes under missing data

Zhang, Y., Comerford, L., Beer, M., & Kougioumtroglou, L. (2015). Compressive Sensing for power spectrum estimation of multi-dimensional processes under missing data. In 2015 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2015) (pp. 162-165). Retrieved from https://www.webofscience.com/

Conference Paper

Enhanced Bayesian Network approach to sea wave overtopping hazard quantification

Tolo, S., Patelli, E., & Beer, M. (2015). Enhanced Bayesian Network approach to sea wave overtopping hazard quantification. In Unknown Conference (pp. 1983-1990). CRC Press. doi:10.1201/b19094-258

DOI
10.1201/b19094-258
Conference Paper

Human factors and quality control procedures: An example from the offshore oil &amp; gas industry

Morais, C., Moura, R., Beer, M., & Lewi, J. (2015). Human factors and quality control procedures: An example from the offshore oil &amp; gas industry. In Unknown Conference (pp. 3835-3841). CRC Press. doi:10.1201/b19094-502

DOI
10.1201/b19094-502
Conference Paper

Optimal risk regulatory policy in the development of a geological disposal facility

Nieto-Cerezo, O., Patelli, E., & Beer, M. (2015). Optimal risk regulatory policy in the development of a geological disposal facility. In Unknown Conference (pp. 2781-2788). CRC Press. doi:10.1201/b19094-364

DOI
10.1201/b19094-364
Conference Paper

Reliability assessments and remaining life of pipelines subject to combined loadings using imprecise probabilities

Opeyemi, D., Patelli, E., Beer, M., & Timashev, S. (2015). Reliability assessments and remaining life of pipelines subject to combined loadings using imprecise probabilities. In Unknown Conference (pp. 2789-2796). CRC Press. doi:10.1201/b19094-365

DOI
10.1201/b19094-365
Conference Paper

Robust design of inspection schedules by means of probability boxes for structural systems prone to damage accumulation

de Angelis, M., Patelli, E., & Beer, M. (2015). Robust design of inspection schedules by means of probability boxes for structural systems prone to damage accumulation. In Unknown Conference (pp. 2733-2741). CRC Press. doi:10.1201/b19094-358

DOI
10.1201/b19094-358
Conference Paper

Survival signature-based sensitivity analysis of systems with epistemic uncertainties

Feng, G., Patelli, E., & Beer, M. (2015). Survival signature-based sensitivity analysis of systems with epistemic uncertainties. In Unknown Conference (pp. 1547-1552). CRC Press. doi:10.1201/b19094-202

DOI
10.1201/b19094-202
Conference Paper

A nonlinear model of failure function for reliability analysis of RC frame columns with tension failure

Jiang, Y., Sun, G., He, Y., Beer, M., & Zhang, J. (2015). A nonlinear model of failure function for reliability analysis of RC frame columns with tension failure. ENGINEERING STRUCTURES, 98, 74-80. doi:10.1016/j.engstruct.2015.04.030

DOI
10.1016/j.engstruct.2015.04.030
Journal article

Special Issue: Computational Stochastic Dynamics Prologue

Beer, M., Kougioumtzoglou, I. A., & Naess, A. (2014). Special Issue: Computational Stochastic Dynamics Prologue. PROBABILISTIC ENGINEERING MECHANICS, 38, 102. doi:10.1016/j.probengmech.2014.11.004

DOI
10.1016/j.probengmech.2014.11.004
Journal article

Analysis of a major-accident dataset by Association Rule Mining to minimise unsafe interfaces

Doell, C., Held, P., Moura, R., Kruse, R., & Beer, M. (n.d.). Analysis of a major-accident dataset by Association Rule Mining to minimise unsafe interfaces. In The 13th International Probabilistic Workshop (IPW2015). Liverpool, UK.

Conference Paper

Long-term performance assessment and design of offshore structures

Zhang, Y., Beer, M., & Quek, S. T. (2015). Long-term performance assessment and design of offshore structures. COMPUTERS & STRUCTURES, 154, 101-115. doi:10.1016/j.compstruc.2015.02.029

DOI
10.1016/j.compstruc.2015.02.029
Journal article

A COMPUTATIONAL TOOL FOR BAYESIAN NETWORKS ENHANCED WITH RELIABILITY METHODS

Tolo, S., Patelli, E., Beer, M., & Kang, Z. (2015). A COMPUTATIONAL TOOL FOR BAYESIAN NETWORKS ENHANCED WITH RELIABILITY METHODS. In Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015) (pp. 908-923). Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece. doi:10.7712/120215.4316.546

DOI
10.7712/120215.4316.546
Conference Paper

An artificial neural network approach for stochastic process power spectrum estimation subject to missing data

Comerford, L., Kougioumtzoglou, I. A., & Beer, M. (2015). An artificial neural network approach for stochastic process power spectrum estimation subject to missing data. STRUCTURAL SAFETY, 52, 150-160. doi:10.1016/j.strusafe.2014.10.001

DOI
10.1016/j.strusafe.2014.10.001
Journal article

Communicating risk in major incidents: The public's perception

Swan, L., Waring, S., Alison, L., & Beer, M. (2015). Communicating risk in major incidents: The public's perception. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.

Conference Paper

Comparative studies on assessment of corrosion rates in pipelines as semi-probabilistic and fully stochastic values

Opeyemi, D. A., Patelli, E., Beer, M., & Timashev, S. A. (2015). Comparative studies on assessment of corrosion rates in pipelines as semi-probabilistic and fully stochastic values. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.

Conference Paper

Editorial: Engineering analysis with vague and imprecise information

Beer, M., & Patelli, E. (2015). Editorial: Engineering analysis with vague and imprecise information. STRUCTURAL SAFETY, 52, 143. doi:10.1016/j.strusafe.2014.11.001

DOI
10.1016/j.strusafe.2014.11.001
Journal article

Enhanced Bayesian Networks approach to risk assessment of spent fuel ponds

Tolo, S., Patelli, E., Beer, M., & Broggi, M. (2015). Enhanced Bayesian Networks approach to risk assessment of spent fuel ponds. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.

Conference Paper

Limit State Imprecise Interval Analysis in Geotechnical Engineering

Marques, S. H., Beer, M., Gomes, A. T., & Henriques, A. A. (2015). Limit State Imprecise Interval Analysis in Geotechnical Engineering. In GEOTECHNICAL SAFETY AND RISK V (pp. 383-388). doi:10.3233/978-1-61499-580-7-383

DOI
10.3233/978-1-61499-580-7-383
Conference Paper

Limit State Imprecise Probabilistic Analysis in Geotechnical Engineering

Marques, S. H., Beer, M., Gomes, A. T., & Henriques, A. A. (2015). Limit State Imprecise Probabilistic Analysis in Geotechnical Engineering. In GEOTECHNICAL SAFETY AND RISK V (pp. 269-274). doi:10.3233/978-1-61499-580-7-269

DOI
10.3233/978-1-61499-580-7-269
Conference Paper

Nonlinear stochastic dynamic analysis for performance based multi-objective optimum design considering life cycle seismic loss estimation

Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2015). Nonlinear stochastic dynamic analysis for performance based multi-objective optimum design considering life cycle seismic loss estimation. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.

Conference Paper

Reliability analysis of systems based on survival signature

Feng, G., Patelli, E., & Beer, M. (2015). Reliability analysis of systems based on survival signature. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.

Conference Paper

Structural system response and reliability analysis under incomplete earthquake records

Comerford, L., Jensen, H., Beer, M., Mayorga, C., Kougioumtzoglou, I., & Kusanovic, D. (2015). Structural system response and reliability analysis under incomplete earthquake records. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.

Conference Paper

Uncertainty management of safety-critical systems: A solution to the back-propagation problem

De Angelis, M., Patelli, E., & Beer, M. (2015). Uncertainty management of safety-critical systems: A solution to the back-propagation problem. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015.

Conference Paper

2014

Human error analysis: Review of past accidents and implications for improving robustness of system design

Human error analysis: Review of past accidents and implications for improving robustness of system design (2014). In Safety and Reliability: Methodology and Applications (pp. 1073-1082). CRC Press. doi:10.1201/b17399-150

DOI
10.1201/b17399-150
Chapter

Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste

Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste (2014). In Safety and Reliability: Methodology and Applications (pp. 517-522). CRC Press. doi:10.1201/b17399-73

DOI
10.1201/b17399-73
Chapter

Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste

Nieto-Cerezo, O., Patelli, E., Wenzelburger, J., & Beer, M. (2015). Mechanism design for risk allocation and benefit sharing in the development of a Geological Disposal Facility for nuclear radioactive waste. In SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS (pp. 481-486). Retrieved from https://www.webofscience.com/

Conference Paper

Approximation Concepts for Fuzzy Structural Analysis

Valdebenito, M. A., Jensen, H. A., Beer, M., & Pérez, C. A. (2014). Approximation Concepts for Fuzzy Structural Analysis. In Vulnerability, Uncertainty, and Risk (pp. 135-144). American Society of Civil Engineers. doi:10.1061/9780784413609.014

DOI
10.1061/9780784413609.014
Conference Paper

Bayesian Network Approach for Risk Assessment of a Spent Nuclear Fuel Pond

Tolo, S., Patelli, E., & Beer, M. (2014). Bayesian Network Approach for Risk Assessment of a Spent Nuclear Fuel Pond. In Unknown Book (pp. 598-607). American Society of Civil Engineers. doi:10.1061/9780784413609.061

DOI
10.1061/9780784413609.061
Chapter

Line Sampling for Assessing Structural Reliability with Imprecise Failure Probabilities

de Angelis, M., Patelli, E., & Beer, M. (2014). Line Sampling for Assessing Structural Reliability with Imprecise Failure Probabilities. In Unknown Book (pp. 915-924). American Society of Civil Engineers. doi:10.1061/9780784413609.093

DOI
10.1061/9780784413609.093
Chapter

OpenCossan: An Efficient Open Tool for Dealing with Epistemic and Aleatory Uncertainties

Patelli, E., Broggi, M., Angelis, M. D., & Beer, M. (2014). OpenCossan: An Efficient Open Tool for Dealing with Epistemic and Aleatory Uncertainties. In Unknown Book (pp. 2564-2573). American Society of Civil Engineers. doi:10.1061/9780784413609.258

DOI
10.1061/9780784413609.258
Chapter

Robust Design Optimization of Structural Systems Under Evolutionary Stochastic Seismic Excitation

Mitseas, I. P., Kougioumtzoglou, I. A., Beer, M., Patelli, E., & Mottershead, J. E. (2014). Robust Design Optimization of Structural Systems Under Evolutionary Stochastic Seismic Excitation. In Unknown Book (pp. 215-224). American Society of Civil Engineers. doi:10.1061/9780784413609.022

DOI
10.1061/9780784413609.022
Chapter

Towards Efficient Ways of Estimating Failure Probability of Mechanical Structures Under Interval Uncertainty

Beer, M., de Angelis, M., & Kreinovich, V. (2014). Towards Efficient Ways of Estimating Failure Probability of Mechanical Structures Under Interval Uncertainty. In Vulnerability, Uncertainty, and Risk (pp. 320-329). American Society of Civil Engineers. doi:10.1061/9780784413609.033

DOI
10.1061/9780784413609.033
Conference Paper

Uncertainty Quantification in Power Spectrum Estimation of Stochastic Processes Subject to Missing Data

Comerford, L., Kougioumtzoglou, I. A., & Beer, M. (2014). Uncertainty Quantification in Power Spectrum Estimation of Stochastic Processes Subject to Missing Data. In Vulnerability, Uncertainty, and Risk (pp. 370-377). American Society of Civil Engineers. doi:10.1061/9780784413609.038

DOI
10.1061/9780784413609.038
Conference Paper

Vulnerability, Uncertainty, and Risk

Vulnerability, Uncertainty, and Risk (2014). In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers. doi:10.1061/9780784413609

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10.1061/9780784413609
Conference Paper

Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis

Comerford, L. A., Beer, M., & Kougioumtzoglou, I. A. (2014). Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis. In 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR ENGINEERING SOLUTIONS (CIES) (pp. 117-124). Retrieved from https://www.webofscience.com/

Conference Paper

An artificial neural network based approach for power spectrum estimation subject to limited and/or missing data

Comerford, L., Kougioumtzoglou, I., & Beer, M. (2014). An artificial neural network based approach for power spectrum estimation subject to limited and/or missing data. In Unknown Conference (pp. 1083-1090). CRC Press. doi:10.1201/b16387-159

DOI
10.1201/b16387-159
Conference Paper

Long-term reliability assessment of offshore structures in complex environment

Zhang, Y., Quek, S., & Beer, M. (2014). Long-term reliability assessment of offshore structures in complex environment. In Unknown Conference (pp. 2209-2216). CRC Press. doi:10.1201/b16387-321

DOI
10.1201/b16387-321
Conference Paper

A compressive sensing based approach for estimating stochastic process power spectra subject to missing data

Comerford, L., Kougioumtzoglou, I. A., & Beer, M. (2014). A compressive sensing based approach for estimating stochastic process power spectra subject to missing data. In EURODYN 2014: IX INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (pp. 2995-2999). Retrieved from https://www.webofscience.com/

Conference Paper

A pilot-study investigating the assessment and allocation of risks in public-private partnership transportation projects in Vietnam

Nhat, M. N., Lewis, J., Beer, M., & Boussabaine, A. (2014). A pilot-study investigating the assessment and allocation of risks in public-private partnership transportation projects in Vietnam. In Proceedings 30th Annual Association of Researchers in Construction Management Conference, ARCOM 2014 (pp. 1419-1428).

Conference Paper

An open approach to educational resource development, with a specific example from structural engineering

Comerford, L., DeAngelis, M., Mannis, A., Beer, M., & Kougioumtzoglou, I. (2014). An open approach to educational resource development, with a specific example from structural engineering. In SEFI Annual Conference 2014.

Conference Paper

Modified linear estimation method for generating multi-dimensional multi-variate Gaussian field in modelling material properties

Liu, Y., Lee, F. -H., Quek, S. -T., & Beer, M. (2014). Modified linear estimation method for generating multi-dimensional multi-variate Gaussian field in modelling material properties. PROBABILISTIC ENGINEERING MECHANICS, 38, 42-53. doi:10.1016/j.probengmech.2014.09.001

DOI
10.1016/j.probengmech.2014.09.001
Journal article

Optimal design of nonlinear structures under evolutionary stochastic earthquake excitations

Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2014). Optimal design of nonlinear structures under evolutionary stochastic earthquake excitations. In OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedings (pp. 2213-2233).

Conference Paper

Preface

Beer, M., Au, S. K., & Hall, J. W. (2014). Preface. doi:10.1061/9780784413609.291

DOI
10.1061/9780784413609.291
Chapter

2013

An efficient strategy for computing interval expectations of risk

De Angelis, M., Patelli, E., & Beer, M. (2013). An efficient strategy for computing interval expectations of risk. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 (pp. 2225-2232).

Conference Paper

Comparing intervals and moments for the quantification of coarse information

Beer, M., & Kreinovich, V. (2013). Comparing intervals and moments for the quantification of coarse information. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 (pp. 375-381).

Conference Paper

An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data

Comerford, L. A., Kougioumtzoglou, I. A., & Beer, M. (2013). An artificial neural network based approach for power spectrum estimation and simulation of stochastic processes subject to missing data. In PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR ENGINEERING SOLUTIONS (CIES) (pp. 118-124). Retrieved from https://www.webofscience.com/

Conference Paper

Bayesian approach for inconsistent information

Stein, M., Beer, M., & Kreinovich, V. (2013). Bayesian approach for inconsistent information. INFORMATION SCIENCES, 245, 96-111. doi:10.1016/j.ins.2013.02.024

DOI
10.1016/j.ins.2013.02.024
Journal article

Interval or moments: which carry more information?

Beer, M., & Kreinovich, V. (2013). Interval or moments: which carry more information?. SOFT COMPUTING, 17(8), 1319-1327. doi:10.1007/s00500-013-1002-1

DOI
10.1007/s00500-013-1002-1
Journal article

Verified stochastic methods Markov set-chains and dependency modeling of mean and standard deviation

Rebner, G., Beer, M., Auer, E., & Stein, M. (2013). Verified stochastic methods Markov set-chains and dependency modeling of mean and standard deviation. SOFT COMPUTING, 17(8), 1415-1423. doi:10.1007/s00500-013-1009-7

DOI
10.1007/s00500-013-1009-7
Journal article

Imprecise probabilities in engineering analyses

Beer, M., Ferson, S., & Kreinovich, V. (2013). Imprecise probabilities in engineering analyses. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 37(1-2), 4-29. doi:10.1016/j.ymssp.2013.01.024

DOI
10.1016/j.ymssp.2013.01.024
Journal article

Special issue of Mechanical Systems and Signal Processing "Imprecise probabilities-What can they add to engineering analyses?" Foreword

Beer, M., & Ferson, S. (2013). Special issue of Mechanical Systems and Signal Processing "Imprecise probabilities-What can they add to engineering analyses?" Foreword. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 37(1-2), 1-3. doi:10.1016/j.ymssp.2013.03.018

DOI
10.1016/j.ymssp.2013.03.018
Journal article

Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method

Zhang, H., Dai, H., Beer, M., & Wang, W. (2013). Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 37(1-2), 137-151. doi:10.1016/j.ymssp.2012.03.001

DOI
10.1016/j.ymssp.2012.03.001
Journal article

Reliability analysis with scarce information: Comparing alternative approaches in a geotechnical engineering context

Beer, M., Zhang, Y., Quek, S. T., & Phoon, K. K. (2013). Reliability analysis with scarce information: Comparing alternative approaches in a geotechnical engineering context. STRUCTURAL SAFETY, 41, 1-10. doi:10.1016/j.strusafe.2012.10.003

DOI
10.1016/j.strusafe.2012.10.003
Journal article

Computational Intelligence in Structural Analysis and Design

Beer, M. (2013). Computational Intelligence in Structural Analysis and Design. In PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE FOR ENGINEERING SOLUTIONS (CIES) (pp. IV-V). Retrieved from https://www.webofscience.com/

Conference Paper

Special issue "Uncertainty quantification in structural analysis and design: To commemorate Professor Gerhart I. Schueller for his life-time contribution in the area of computational stochastic mechanics"

Jensen, H. A., & Beer, M. (2013). Special issue "Uncertainty quantification in structural analysis and design: To commemorate Professor Gerhart I. Schueller for his life-time contribution in the area of computational stochastic mechanics". COMPUTERS & STRUCTURES, 126, 1-2. doi:10.1016/j.compstruc.2013.04.002

DOI
10.1016/j.compstruc.2013.04.002
Journal article

2012

Interval Analysis for System Identification of Linear MDOF Structures in the Presence of Modeling Errors

Zhang, M. Q., Beer, M., & Koh, C. G. (2012). Interval Analysis for System Identification of Linear MDOF Structures in the Presence of Modeling Errors. JOURNAL OF ENGINEERING MECHANICS, 138(11), 1326-1338. doi:10.1061/(ASCE)EM.1943-7889.0000433

DOI
10.1061/(ASCE)EM.1943-7889.0000433
Journal article

Fuzzy Probability Theory

Beer, M. (2012). Fuzzy Probability Theory. In Computational Complexity (pp. 1240-1252). Springer New York. doi:10.1007/978-1-4614-1800-9_76

DOI
10.1007/978-1-4614-1800-9_76
Chapter

CUDA Accelerated Fault Tree Analysis with C-XSC

Rebner, G., & Beer, M. (2012). CUDA Accelerated Fault Tree Analysis with C-XSC. In Unknown Conference (pp. 539-549). Springer Berlin Heidelberg. doi:10.1007/978-3-642-33362-0_41

DOI
10.1007/978-3-642-33362-0_41
Conference Paper

Life-cycle financial modelling of long term infrastructure projects "PPP-BOT projects" under uncertainty and risk

Attarzadeh, M., Chua, D. K. H., Zhu, L., & Beer, M. (2012). Life-cycle financial modelling of long term infrastructure projects "PPP-BOT projects" under uncertainty and risk. In Life-Cycle and Sustainability of Civil Infrastructure Systems - Proceedings of the 3rd International Symposium on Life-Cycle Civil Engineering, IALCCE 2012 (pp. 991-996).

Conference Paper

Dealing with scarce information on engineering systems

Patelli, E. (2012). Dealing with scarce information on engineering systems. N/A, N/A, N/A.

Journal article

Dealing with scarce information on engineering systems

de Angelis, M., Patelli, E., & Beer, M. (2012). Dealing with scarce information on engineering systems. In 6th EUROPEAN CONGRESS ON COMPUTATIONAL METHODS IN APPLIED SCIENCES AND ENGINEERING (ECCOMAS 2012) (pp. -).

Conference Paper

Proceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA2012): Sustainable Civil Infrastructures - Hazards, Risk, Uncertainty

Phoon, K. K., Beer, M., Quek, S. T., & Pang, S. D. (Eds.) (2012). Proceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA2012): Sustainable Civil Infrastructures - Hazards, Risk, Uncertainty. In 5th Asian-Pacific Symposium on Structural Reliability and its Applications (APSSRA2012) (pp. 1-780). Singapore: Research Publishing Singapore.

Conference Paper

Safety and robustness assessment of structures with generalized data uncertainty

Beer, M., Graf, W., & Kaliske, M. (2012). Safety and robustness assessment of structures with generalized data uncertainty. GACM Report, 7, 23-28.

Journal article

Safety and robustness assessment of structures with generalized data uncertainty

Beer, M., Graf, W., & Kaliske, M. (2012). Safety and robustness assessment of structures with generalized data uncertainty. GACM Report, 7, 23-28.

Journal article

2011

Bayesian quantification of inconsistent information

Stein, M., & Beer, M. (2011). Bayesian quantification of inconsistent information. In Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering (pp. 463-470).

Conference Paper

Structural Reliability Assessment with Fuzzy Probabilities

Beer, M., Zhang, M., Tong, Q. S., & Ferson, S. (2011). Structural Reliability Assessment with Fuzzy Probabilities. In ISIPTA '11 - PROCEEDINGS OF THE SEVENTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES AND APPLICATIONS (pp. 61-70). Retrieved from https://www.webofscience.com/

Conference Paper

Uncertainty analysis in geotechnical engineering-a comparative study of selected approaches

Beer, M., Zhang, Y., Quek, S. T., & Phoon, K. K. (2011). Uncertainty analysis in geotechnical engineering-a comparative study of selected approaches. In APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING (pp. 2768-2775). Retrieved from https://www.webofscience.com/

Conference Paper

Introduction

Kruse, R., Beer, M., & Zadeh, L. A. (2011). Introduction. INTEGRATED COMPUTER-AIDED ENGINEERING, 18(3), 201-202. doi:10.3233/ICA-2011-0377

DOI
10.3233/ICA-2011-0377
Journal article

Fuzzy Probability in Engineering Analyses

Beer, M., & Ferson, S. (2011). Fuzzy Probability in Engineering Analyses. In Vulnerability, Uncertainty, and Risk (pp. 53-61). American Society of Civil Engineers. doi:10.1061/41170(400)7

DOI
10.1061/41170(400)7
Conference Paper

Risk Management of Asalouye Desalination Project

Attarzadeh, M., Chua, D. K. H., & Beer, M. (2011). Risk Management of Asalouye Desalination Project. In Vulnerability, Uncertainty, and Risk (pp. 805-812). American Society of Civil Engineers. doi:10.1061/41170(400)98

DOI
10.1061/41170(400)98
Conference Paper

Risk Management of Long Term Infrastructure Projects "PPP-BOT Projects" by Using Uncertainty, Probabilistic and Stochastic Methods, and Models

Attarzadeh, M., Chua, D. K. H., & Beer, M. (2011). Risk Management of Long Term Infrastructure Projects "PPP-BOT Projects" by Using Uncertainty, Probabilistic and Stochastic Methods, and Models. In Vulnerability, Uncertainty, and Risk (pp. 360-367). American Society of Civil Engineers. doi:10.1061/41170(400)44

DOI
10.1061/41170(400)44
Conference Paper

A new approach for robustness assessment of fixed offshore structures under imprecise marine corrosion

Zhang, M. Q., Beer, M., Koh, C. G., Hirokane, M., & IEEE. (2014). A new approach for robustness assessment of fixed offshore structures under imprecise marine corrosion. In 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014) (pp. 2919-2926). Retrieved from http://gateway.webofknowledge.com/

Conference Paper

BAYESIAN UPDATE WITH FUZZY INFORMATION

Beer, M., & Stein, M. (2012). BAYESIAN UPDATE WITH FUZZY INFORMATION. In PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2011, VOL 9 (pp. 821-829). Retrieved from https://www.webofscience.com/

Conference Paper

Identification of Representative Paths in Noisy Processes

Liebscher, M., Reuter, U., Beer, M., Mehmood, Z., & IEEE. (2014). Identification of Representative Paths in Noisy Processes. In 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014) (pp. 2907-2912). Retrieved from http://gateway.webofknowledge.com/

Conference Paper

Identification of Representative Paths in Noisy Processes

Liebscher, M., Reuter, U., Beer, M., & Mehmood, Z. (2011). Identification of Representative Paths in Noisy Processes. In PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS, EURODYN 2011 (pp. 2907-2912). Retrieved from https://www.webofscience.com/

Conference Paper

Statics

Ang, K. K., Beer, M., & Wang, C. M. (2011). Statics. Singapore: McGraw-Hill.

Book

2010

A Summary on Fuzzy Probability Theory

Beer, M. (2010). A Summary on Fuzzy Probability Theory. In 2010 IEEE International Conference on Granular Computing (pp. 5-6). IEEE. doi:10.1109/grc.2010.78

DOI
10.1109/grc.2010.78
Conference Paper

Comparison of uncertainty models in reliability analysis of offshore structures under marine corrosion

Zhang, M. Q., Beer, M., Quek, S. T., & Choo, Y. S. (2010). Comparison of uncertainty models in reliability analysis of offshore structures under marine corrosion. STRUCTURAL SAFETY, 32(6), 425-432. doi:10.1016/j.strusafe.2010.04.003

DOI
10.1016/j.strusafe.2010.04.003
Journal article

Special Issue "Modeling and Analysis of Rare and Imprecise Information" Foreword

Beer, M., Kwang, P. K., & Tong, Q. S. (2010). Special Issue "Modeling and Analysis of Rare and Imprecise Information" Foreword. STRUCTURAL SAFETY, 32(6), 357. doi:10.1016/j.strusafe.2010.09.004

DOI
10.1016/j.strusafe.2010.09.004
Journal article

Discrete-continuous variable structural optimization of systems under stochastic loading

Jensen, H. A., & Beer, M. (2010). Discrete-continuous variable structural optimization of systems under stochastic loading. STRUCTURAL SAFETY, 32(5), 293-304. doi:10.1016/j.strusafe.2010.03.007

DOI
10.1016/j.strusafe.2010.03.007
Journal article

Detection of branching points in noisy processes

Beer, M., & Liebscher, M. (2010). Detection of branching points in noisy processes. COMPUTATIONAL MECHANICS, 45(4), 363-374. doi:10.1007/s00466-009-0458-4

DOI
10.1007/s00466-009-0458-4
Journal article

4th International Workshop on Reliable Engineering Computing (REC2010), Robust Design - Coping with Hazards, Risk and Uncertainty

Beer, M., Muhanna, R. L., & Mullen, R. L. (Eds.) (2010). 4th International Workshop on Reliable Engineering Computing (REC2010), Robust Design - Coping with Hazards, Risk and Uncertainty. In International Workshop on Reliable Engineering Computing (REC2010) (pp. 808). Singapore: Research Publishing.

Conference Paper

Detection of branching points in noisy processes

Beer, M., & Liebscher, M. (2010). Detection of branching points in noisy processes. Computational Mechanics, 45(4), 363-374. doi:10.1007/s00466-009-0458-4

DOI
10.1007/s00466-009-0458-4
Journal article

2009

Uncertainty and robustness in structural design

Beer, M., & Liebscher, M. (2009). Uncertainty and robustness in structural design. In Proceedings of the 12th International Conference on Civil, Structural and Environmental Engineering Computing.

Conference Paper

Lifetime prediction using accelerated test data and neural networks

Freitag, S., Beer, M., Graf, W., & Kaliske, M. (2009). Lifetime prediction using accelerated test data and neural networks. COMPUTERS & STRUCTURES, 87(19-20), 1187-1194. doi:10.1016/j.compstruc.2008.12.007

DOI
10.1016/j.compstruc.2008.12.007
Journal article

A neural network approach for simulating stationary stochastic processes

Beer, M., & Spanos, P. D. (2009). A neural network approach for simulating stationary stochastic processes. STRUCTURAL ENGINEERING AND MECHANICS, 32(1), 71-94. doi:10.12989/sem.2009.32.1.071

DOI
10.12989/sem.2009.32.1.071
Journal article

Engineering quantification of inconsistent information

Beer, M. (2009). Engineering quantification of inconsistent information. International Journal of Reliability and Safety, 3(1/2/3), 174. doi:10.1504/ijrs.2009.026840

DOI
10.1504/ijrs.2009.026840
Journal article

Fuzzy Probability Theory

Beer, M. (2009). Fuzzy Probability Theory. In R. Meyers (Ed.), Encyclopedia of Complexity and Systems Science (Vol. 6, pp. 4047-4059). New York: Springer.

Chapter

Non-traditional Prospects in the Simultaneous Treatment of Uncertainty and Imprecision

Beer, M. (2009). Non-traditional Prospects in the Simultaneous Treatment of Uncertainty and Imprecision. In B. H. V. Topping, & Y. Tsompanakis (Eds.), Soft Computing in Civil and Structural Engineering (Vol. 23, pp. 247-266). Stirlingshire: Saxe-Coburg Publications.

Chapter

2008

Designing robust structures - A nonlinear simulation based approach

Beer, M., & Liebscher, M. (2008). Designing robust structures - A nonlinear simulation based approach. COMPUTERS & STRUCTURES, 86(10), 1102-1122. doi:10.1016/j.compstruc.2007.05.037

DOI
10.1016/j.compstruc.2007.05.037
Journal article

Engineering computation under uncertainty -: Capabilities of non-traditional models

Moeller, B., & Beer, M. (2008). Engineering computation under uncertainty -: Capabilities of non-traditional models. COMPUTERS & STRUCTURES, 86(10), 1024-1041. doi:10.1016/j.compstruc.2007.05.041

DOI
10.1016/j.compstruc.2007.05.041
Journal article

Special issue -: Uncertainty in structural analysis -: Their effect on robustness, sensitivity and design

Moeler, B., & Beer, M. (2008). Special issue -: Uncertainty in structural analysis -: Their effect on robustness, sensitivity and design. COMPUTERS & STRUCTURES, 86(10), 1023. doi:10.1016/j.compstruc.2007.10.001

DOI
10.1016/j.compstruc.2007.10.001
Journal article

2007

Fuzzy structural analysis in view of numerical efficiency

Liebscher, M., Beer, M., Moeller, B., & Graf, W. (2007). Fuzzy structural analysis in view of numerical efficiency. In APPLICATIONS OF STATISICS AND PROBABILITY IN CIVIL ENGINEERING (pp. 249-250). Retrieved from https://www.webofscience.com/

Conference Paper

Karhunen-loeve expansion of stochastic processes with a modified exponential covariance kernel

Spanos, P. D., Beer, M., & Red-Horse, J. (2007). Karhunen-loeve expansion of stochastic processes with a modified exponential covariance kernel. JOURNAL OF ENGINEERING MECHANICS, 133(7), 773-779. doi:10.1061/(ASCE)0733-9399(2007)133:7(773)

DOI
10.1061/(ASCE)0733-9399(2007)133:7(773)
Journal article

Lifetime prediction with neural networks

Freitag, S., Beer, M., Graf, W., & Kaliske, M. (2007). Lifetime prediction with neural networks. In Civil-Comp Proceedings Vol. 87.

Conference Paper

Model-free sampling

Beer, M. (2007). Model-free sampling. STRUCTURAL SAFETY, 29(1), 49-65. doi:10.1016/j.strusafe.2006.01.001

DOI
10.1016/j.strusafe.2006.01.001
Journal article

2006

Time-dependent reliability of textile-strengthened RC structures under consideration of fuzzy randomness

Möller, B., Beer, M., Graf, W., & Sickert, J. U. (2006). Time-dependent reliability of textile-strengthened RC structures under consideration of fuzzy randomness. COMPUTERS & STRUCTURES, 84(8-9), 585-603. doi:10.1016/j.compstruc.2005.10.006

DOI
10.1016/j.compstruc.2005.10.006
Journal article

Zum Einfluß der Datenbasis auf Tragwerkssicherheit und Versagensrisiko

Graf, W., Möller, B., & Beer, M. (2006). Zum Einfluß der Datenbasis auf Tragwerkssicherheit und Versagensrisiko. Wissenschaftliche Zeitschrift der Technischen Universität Dresden, 55(3-4), 49-53.

Journal article

2004

Uncertain structural design based on nonlinear fuzzy analysis

Beer, M. (2004). Uncertain structural design based on nonlinear fuzzy analysis. ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 84(10-11), 740-753. doi:10.1002/zamm.200410154

DOI
10.1002/zamm.200410154
Journal article

Discussion on "Structural reliability analysis through fuzzy number approach, with application to stability"

Möller, B., Graf, W., & Beer, M. (2004). Discussion on "Structural reliability analysis through fuzzy number approach, with application to stability". COMPUTERS & STRUCTURES, 82(2-3), 325-327. doi:10.1016/S0045-7949(03)00336-5

DOI
10.1016/S0045-7949(03)00336-5
Journal article

Fuzzy Randomness

Möller, B., & Beer, M. (2004). Fuzzy Randomness. Springer Berlin Heidelberg. doi:10.1007/978-3-662-07358-2

DOI
10.1007/978-3-662-07358-2
Book

2003

Safety assessment of structures in view of fuzzy randomness

Möller, B., Graf, W., & Beer, M. (2003). Safety assessment of structures in view of fuzzy randomness. COMPUTERS & STRUCTURES, 81(15), 1567-1582. doi:10.1016/S0045-7949(03)00147-0

DOI
10.1016/S0045-7949(03)00147-0
Journal article

Fuzzy stochastic finite element method

Möller, B., Graf, W., Beer, M., & Sickert, J. U. (2003). Fuzzy stochastic finite element method. In Unknown Book (pp. 2074-2077). Retrieved from https://www.webofscience.com/

Chapter

Fuzzy probabilistic structural analysis considering fuzzy random functions

Sickert, J. U., Beer, M., Graf, W., & Möller, B. (2003). Fuzzy probabilistic structural analysis considering fuzzy random functions. In APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING, VOLS 1 AND 2 (pp. 379-386). Retrieved from https://www.webofscience.com/

Conference Paper

Processing uncertainty in structural analysis, design and safety assessment

Beer, M., Moller, B., & Liebscher, M. (2003). Processing uncertainty in structural analysis, design and safety assessment. In ISUMA 2003: FOURTH INTERNATIONAL SYMPOSIUM ON UNCERTAINTY MODELING AND ANALYSIS (pp. 34-39). doi:10.1109/ISUMA.2003.1236137

DOI
10.1109/ISUMA.2003.1236137
Conference Paper

2001

Fuzzy finite element method and its application

Möller, B., Beer, M., Graf, W., & Sickert, J. U. (2001). Fuzzy finite element method and its application. In TRENDS IN COMPUTATIONAL STRUCTURAL MECHANICS (pp. 529-538). Retrieved from https://www.webofscience.com/

Conference Paper

2000

Fuzzy structural analysis using α-level optimization

Möller, B., Graf, W., & Beer, M. (2000). Fuzzy structural analysis using α-level optimization. COMPUTATIONAL MECHANICS, 26(6), 547-565. doi:10.1007/s004660000204

DOI
10.1007/s004660000204
Journal article

RC-folded plate structures with textile reinforcement

Möller, B., Beer, M., Graf, W., & Hoffmann, A. (2000). RC-folded plate structures with textile reinforcement. In European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000.

Conference Paper

Fuzzy-Tragwerksanalyse - Tragwerksanalyse mit unscharfen Parametern

Möller, B., Graf, W., & Beer, M. (2000). Fuzzy-Tragwerksanalyse - Tragwerksanalyse mit unscharfen Parametern. Bauingenieur, 75(11), 697-708.

Journal article

Modellierung von Unschärfe im Ingenieurbau

Möller, B., Beer, M., Graf, W., Hoffmann, A., & Sickert, J. U. (2000). Modellierung von Unschärfe im Ingenieurbau. Bauinformatik Journal, 3, 21-25.

Journal article

1999

Possibility Theory Based Safety Assessment

Moller, B., Beer, M., Graf, W., & Hoffmann, A. (1999). Possibility Theory Based Safety Assessment. Computer-Aided Civil and Infrastructure Engineering, 14(2), 81-91. doi:10.1111/0885-9507.00132

DOI
10.1111/0885-9507.00132
Journal article

Ultimate limit loads of RC-folded plate structures with textile reinforcement

Möller, B., Graf, W., Hoffmann, A., & Beer, M. (1999). Ultimate limit loads of RC-folded plate structures with textile reinforcement. In COMPUTATIONAL METHODS AND EXPERIMENTAL MEASUREMENTS IX (pp. 453-462). Retrieved from https://www.webofscience.com/

Conference Paper

1998

Safety assessment using fuzzy theory

Möller, B., & Beer, M. (1998). Safety assessment using fuzzy theory. In COMPUTING IN CIVIL ENGINEERING (pp. 756-759). Retrieved from https://www.webofscience.com/

Conference Paper

1997

Uncertainty analysis in civil engineering using fuzzy modeling

Moeller, B., & Beer, M. (1997). Uncertainty analysis in civil engineering using fuzzy modeling. In PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON COMPUTING IN CIVIL AND BUILDING ENGINEERING, VOLS 1-4 (pp. 1425-1430). Retrieved from https://www.webofscience.com/

Conference Paper

1995

New varioram intake system of the Porsche 911 engine

Beer, M., Kling, J., Pelters, S., Rutschmann, E., & Scheiba, J. (1995). New varioram intake system of the Porsche 911 engine. MTZ Motortechnische Zeitschrift, 56(9).

Journal article