Publications
2024
Detecting damage in composites using volume decomposition analysis of tomographic data
Middleton, C., Amjad, K., Christian, W., Hilmas, A. M., Przybyla, C., & Patterson, E. (2024). Detecting damage in composites using volume decomposition analysis of tomographic data. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. doi:10.1098/rspa.2024.0379
Volume decomposition of tomography data to detect damage in mini-composites
Middleton, C., Amjad, K., Christian, W. J. R., Hilmas, A. M., Przybyla, C., & Patterson, E. (2024). Volume decomposition of tomography data to detect damage in mini-composites. In 18th International Conference on Advances in Experimental Mechanics 2024. Liverpool.
Experimental study on the effect of waviness defects on composite material impact dynamics
Chai, E., Wang, W. C., & Christian, W. J. R. (2024). Experimental study on the effect of waviness defects on composite material impact dynamics. Composites Part B: Engineering, 111638. doi:10.1016/j.compositesb.2024.111638
Towards automated characterisation of fatigue damage in composites using thermoelastic stress analysis
Christian, W. J. R., Lambert, P., Tabrizi, I. E., Middleton, C. A., Przybyla, C., & Patterson, E. A. (2024). Towards automated characterisation of fatigue damage in composites using thermoelastic stress analysis. Composites Part A: Applied Science and Manufacturing, 108205. doi:10.1016/j.compositesa.2024.108205
2023
Identification of defects in composite laminates by comparison of mode shapes from electronic speckle pattern interferometry
Li, X. N., Sung, P. C., Patterson, E. A., Wang, W. C., & Christian, W. J. R. (2023). Identification of defects in composite laminates by comparison of mode shapes from electronic speckle pattern interferometry. OPTICS AND LASERS IN ENGINEERING, 163. doi:10.1016/j.optlaseng.2022.107444
Prediction of residual strains due to in-plane fibre waviness in defective carbon-fibre reinforced polymers using ultrasound data
Li, X., Patterson, E., Wang, W. -C., & Christian, W. (n.d.). Prediction of residual strains due to in-plane fibre waviness in defective carbon-fibre reinforced polymers using ultrasound data. Journal of Nondestructive Evaluation.
Quantitative Comparisons of Volumetric Datasets From Experiments and Computational Models
Amjad, K., Christian, W. J. R., Dvurecenska, K., Mollenhauer, D. H., Przybyla, C. P., & Patterson, E. A. (2023). Quantitative Comparisons of Volumetric Datasets From Experiments and Computational Models. IEEE Access, 11, 123401-123417. doi:10.1109/access.2023.3328326
2021
Comparing full-field data from structural components with complicated geometries
Christian, W. J. R., Dean, A. D., Dvurecenska, K., Middleton, C. A., & Patterson, E. A. (2021). Comparing full-field data from structural components with complicated geometries. ROYAL SOCIETY OPEN SCIENCE, 8(9). doi:10.1098/rsos.210916
2020
Detection and tracking of cracks based on thermoelastic stress analysis
Patterson, E., Middleton, C., Weihrauch, M., Christian, W., & Greene, R. (n.d.). Detection and tracking of cracks based on thermoelastic stress analysis. Royal Society Open Science.
Real-time quantification of damage in structural materials during mechanical testing
Christian, W. J. R., Dvurecenska, K., Amjad, K., Pierce, J., Przybyla, C., & Patterson, E. A. (2020). Real-time quantification of damage in structural materials during mechanical testing. ROYAL SOCIETY OPEN SCIENCE, 7(3). doi:10.1098/rsos.191407
Computationally efficient method of tracking fibres in composite materials using digital image correlation
Amjad, K., Christian, W., Dvurecenska, K., Chapman, M. G., Uchic, M. D., Przybyla, C., & Patterson, E. A. (2020). Computationally efficient method of tracking fibres in composite materials using digital image correlation. Composites Part A: Applied Science and Manufacturing, 129. doi:10.1016/j.compositesa.2019.105683
2019
Machine vision characterisation of the 3D microstructure of ceramic matrix composites
Christian, W. J. R., Dvurecenska, K., Amjad, K., Przybyla, C., & Patterson, E. A. (2019). Machine vision characterisation of the 3D microstructure of ceramic matrix composites. JOURNAL OF COMPOSITE MATERIALS, 53(16), 2285-2296. doi:10.1177/0021998319826355
The use of CCD cameras for characterizing the mean deflected shape of an aerospace panel during broadband excitation
Patterson, E. A., Sebastian, C., Christian, W., & Lopez-Alba, E. (n.d.). The use of CCD cameras for characterizing the mean deflected shape of an aerospace panel during broadband excitation. Journal of Strain Analysis for Engineering Design.
2018
An experimental study on the manufacture and characterization of in-plane fibre-waviness defects in composites
Christian, W., DiazDelaO, F. A., Atherton, K., & Patterson, E. A. (2018). An experimental study on the manufacture and characterization of in-plane fibre-waviness defects in composites. Royal Society Open Science, 5(5). doi:10.1098/rsos.180082
Strain-based damage assessment for accurate residual strength prediction of impacted composite laminates
Christian, W. J. R., DiazDelaO, F. A., & Patterson, E. A. (2018). Strain-based damage assessment for accurate residual strength prediction of impacted composite laminates. Composite Structures, 184, 1215-1223. doi:10.1016/j.compstruct.2017.10.022
2017
Robust Empirical Predictions of Residual Performance of Damaged Composites with Quantified Uncertainties
Christian, W., Patterson, E. A., & Diaz de la O, F. A. (2017). Robust Empirical Predictions of Residual Performance of Damaged Composites with Quantified Uncertainties. Journal of Nondestructive Evaluation, 36(2). doi:10.1007/s10921-017-0416-6