Book Chapter
Showing results 1 - 11 out of 11
Journal Articles
Showing results 41 - 60 out of 316
2024
Liao, K., Wu, Y., Miao, F., Pan, Y., & Beer, M. (2024). Quantitative Risk Assessment of Seismically Loaded Slopes in Spatially Variable Soils with Depth-Dependent Strength. International Journal of Geomechanics, 24(7), Article 04024113. https://doi.org/10.1061/IJGNAI.GMENG-9001
Liu, J., Shi, Y., Ding, C., & Beer, M. (2024). Hybrid uncertainty propagation based on multi-fidelity surrogate model. Computers and Structures, 293, Article 107267. https://doi.org/10.1016/j.compstruc.2023.107267
Lyu, M. Z., Feng, D. C., Cao, X. Y., & Beer, M. (2024). A full-probabilistic cloud analysis for structural seismic fragility via decoupled M-PDEM. Earthquake Engineering and Structural Dynamics, 53(5), 1863-1881. https://doi.org/10.1002/eqe.4093
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, Article 109695. https://doi.org/10.1016/j.ress.2023.109695
Mitseas, I. P., Ni, P., Fragkoulis, V. C., & Beer, M. (2024). Survival probability surfaces of hysteretic fractional order structures exposed to non-stationary code-compliant stochastic seismic excitation. Engineering structures, 318, Article 118755. https://doi.org/10.1016/j.engstruct.2024.118755
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, Article 102525. https://doi.org/10.1016/j.strusafe.2024.102525
Rafieyan, A., Sarvari, H., Beer, M., & Chan, D. W. M. (2024). 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, 24(7), 748-760. https://doi.org/10.1080/15623599.2022.2159630
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, Article 123512. https://doi.org/10.1016/j.techfore.2024.123512
Sarvari, H., Asaadsamani, P., Olawumi, T. O., Chan, D. W. M., Rashidi, A., & Beer, M. (2024). 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, 20(3), 673-693. https://doi.org/10.1080/17452007.2024.2329687
Shi, Y., & BEER, M. (2024). Deep learning-driven interval uncertainty propagation for aeronautical structures: Adaptive combination of line sampling for imprecise time-variant reliability analysis. Chinese journal of aeronautics, 37(12), 71-86. https://doi.org/10.1016/j.cja.2024.05.009
Shi, Y., Behrensdorf, J., Zhou, J., Hu, Y., Broggi, M., & Beer, M. (2024). Network reliability analysis through survival signature and machine learning techniques. Reliability engineering & system
safety, 242, Article 109806. https://doi.org/10.1016/j.ress.2023.109806
Shi, Y., Chai, R., & Beer, M. (2024). Novel gradient-enhanced Bayesian neural networks for uncertainty propagation. Computer Methods in Applied Mechanics and Engineering, 429, Article 117188. https://doi.org/10.1016/j.cma.2024.117188
Shi, Y., & Beer, M. (2024). Physics-informed neural network classification framework for reliability analysis. Expert systems with applications, 258, Article 125207. https://doi.org/10.1016/j.eswa.2024.125207
Song, J., Cui, Y., Wei, P., Rashki, M., Zhang, W., & Beer, M. (2024). Directional filter combined with active learning for rare failure events. Computer Methods in Applied Mechanics and Engineering, 428, Article 117105. https://doi.org/10.1016/j.cma.2024.117105
Wang, R., Chen, G., Liu, Y., & Beer, M. (2024). Computational modeling of near-fault earthquake-induced landslides considering stochastic ground motions and spatially varying soil. Engineering structures, 316, Article 118580. https://doi.org/10.1016/j.engstruct.2024.118580
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, Article 105679. https://doi.org/10.1016/j.jweia.2024.105679
Wang, R., Ouyang, J., Fragkoulis, V. C., Liu, Y., & Beer, M. (2024). Experimental model updating of slope considering spatially varying soil properties and dynamic loading. Earthquake Engineering and Resilience, 3(1), 33-53. https://doi.org/10.1002/eer2.70
Wang, R., Li, S., Liu, Y., Hu, X., Lai, X., & Beer, M. (2024). Peridynamics-based large-deformation simulations for near-fault landslides considering soil uncertainty. Computers and geotechnics, 168, Article 106128. https://doi.org/10.1016/j.compgeo.2024.106128
Wang, L., Hu, Z., Dang, C., & Beer, M. (2024). Refined parallel adaptive Bayesian quadrature for estimating small failure probabilities. Reliability Engineering and System Safety, 244, Article 109953. https://doi.org/10.1016/j.ress.2024.109953
Wang, C., Beer, M., Faes, M. G. R., & Feng, D. C. (2024). Resilience Assessment under Imprecise Probability. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 10(2), Article 04024025. https://doi.org/10.1061/AJRUA6.RUENG-1244
