Book Chapter
Showing results 1 - 11 out of 11
Journal Articles
Showing results 101 - 120 out of 313
2023
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, Article 110702. https://doi.org/10.1016/j.ymssp.2023.110702
Mo, J., Yan, W. J., Yuen, K. V., & Beer, M. (2023). Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation. Mechanical Systems and Signal Processing, 188, Article 110040. https://doi.org/10.1016/j.ymssp.2022.110040
Ni, P., Fragkoulis, V. C., Kong, F., Mitseas, I. P., & Beer, M. (2023). Non-stationary response of nonlinear systems with singular parameter matrices subject to combined deterministic and stochastic excitation. Mechanical Systems and Signal Processing, 188, Article 110009. https://doi.org/10.1016/j.ymssp.2022.110009
Persoons, A., Wei, P., Broggi, M., & Beer, M. (2023). A new reliability method combining adaptive Kriging and active variance reduction using multiple importance sampling. Structural and Multidisciplinary Optimization, 66(6), Article 144. https://doi.org/10.1007/s00158-023-03598-6
Shi, Y., Huang, H. Z., Liu, Y., & Beer, M. (2023). Adaptive decoupled robust design optimization. Structural safety, 105, Article 102378. https://doi.org/10.1016/j.strusafe.2023.102378
Wan, Z., Chen, J., Tao, W., Wei, P., Beer, M., & Jiang, Z. (2023). A feature mapping strategy of metamodelling for nonlinear stochastic dynamical systems with low to high-dimensional input uncertainties. Mechanical Systems and Signal Processing, 184, Article 109656. https://doi.org/10.1016/j.ymssp.2022.109656
Wang, C., Yang, L., Xie, M., Valdebenito, M., & Beer, M. (2023). Bayesian maximum entropy method for stochastic model updating using measurement data and statistical information. Mechanical Systems and Signal Processing, 188, Article 110012. https://doi.org/10.1016/j.ymssp.2022.110012
Wang, Z. W., Lu, X. F., Zhang, W. M., Fragkoulis, V. C., Beer, M., & Zhang, Y. F. (2023). Deep learning-based reconstruction of missing long-term girder-end displacement data for suspension bridge health monitoring. Computers and Structures, 284, Article 107070. https://doi.org/10.1016/j.compstruc.2023.107070
Wang, C., Ayyub, B. M., & Beer, M. (2023). From Reliability-Based Design to Resilience-Based Design. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 9(3), Article 031105. https://doi.org/10.1115/1.4062997
Wang, C., Zhang, H., & Beer, M. (2023). Structural Time-Dependent Reliability Assessment: Advanced Approaches for Engineered Structures. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(1). https://doi.org/10.1061/AJRUA6.RUENG-1010
Wang, C., Ayyub, B. M., Zhang, H., & Beer, M. (2023). Time-Dependent Resilience in the Presence of Interacting Multiple Hazards in a Changing Climate. ASCE OPEN: Multidisciplinary Journal of Civil Engineering, 1(1). https://doi.org/10.1061/aomjah.aoeng-0024
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, Article 103494. https://doi.org/10.1016/j.probengmech.2023.103494
Xu, Y., Ji, J. C., Ni, Q., Feng, K., Beer, M., & Chen, H. (2023). A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems. Mechanical Systems and Signal Processing, 200, Article 110609. https://doi.org/10.1016/j.ymssp.2023.110609
Yuan, X., Valdebenito, M. A., Zhang, B., Faes, M. G. R., & Beer, M. (2023). Efficient decoupling approach for reliability-based optimization based on augmented Line Sampling and combination algorithm. Computers and Structures, 280, Article 107003. https://doi.org/10.1016/j.compstruc.2023.107003
Yuan, X., Qian, Y., Chen, J., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2023). Global failure probability function estimation based on an adaptive strategy and combination algorithm. Reliability Engineering and System Safety, 231, Article 108937. https://doi.org/10.1016/j.ress.2022.108937
Yuan, X., Wang, S., Valdebenito, M. A., Faes, M. G. R., & Beer, M. (2023). Sample regeneration algorithm for structural failure probability function estimation. Probabilistic Engineering Mechanics, 71, Article 103387. https://doi.org/10.1016/j.probengmech.2022.103387
Zeng, D., Zhang, H., Dai, H., & Beer, M. (2023). Scalable risk assessment of large infrastructure systems with spatially correlated components. Structural safety, 101, Article 102311. https://doi.org/10.1016/j.strusafe.2022.102311
Zhang, K., Chen, N., Liu, J., Yin, S., & Beer, M. (2023). An efficient meta-model-based method for uncertainty propagation problems involving non-parameterized probability-boxes. Reliability Engineering and System Safety, 238, Article 109477. https://doi.org/10.1016/j.ress.2023.109477
Zhang, Y., Xu, J., & Beer, M. (2023). A single-loop time-variant reliability evaluation via a decoupling strategy and probability distribution reconstruction. Reliability Engineering and System Safety, 232, Article 109031. https://doi.org/10.1016/j.ress.2022.109031
Zhang, Y., Ren, Z., Feng, K., Yu, K., Beer, M., & Liu, Z. (2023). Universal source-free domain adaptation method for cross-domain fault diagnosis of machines. Mechanical Systems and Signal Processing, 191, Article 110159. https://doi.org/10.1016/j.ymssp.2023.110159
