Book Chapter
Showing results 1 - 11 out of 11
Journal Articles
Showing results 221 - 240 out of 319
2020
Nieto-Cerezo, O., Wenzelburger, J., Patelli, E., & Beer, M. (2020). Optimal Regulation of the Construction of Reliable Sea Defenses. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(2), Article 04020023. https://doi.org/10.1061/AJRUA6.0001065
Salomon, J., Broggi, M., Kruse, S., Weber, S., & Beer, M. (2020). Resilience decision-making for complex systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 6(2), Article 020901. https://doi.org/10.1115/1.4044907
Song, J., Wei, P., Valdebenito, M., & Beer, M. (2020). Adaptive reliability analysis for rare events evaluation with global imprecise line sampling. Computer Methods in Applied Mechanics and Engineering, 372, Article 113344. https://doi.org/10.1016/j.cma.2020.113344
Song, J., Valdebenito, M., Wei, P., Beer, M., & Lu, Z. (2020). Non-intrusive imprecise stochastic simulation by line sampling. Structural Safety, 84, Article 101936. https://doi.org/10.1016/j.strusafe.2020.101936
Valdebenito, M. A., Beer, M., Jensen, H. A., Chen, J., & Wei, P. (2020). Fuzzy failure probability estimation applying intervening variables. Structural Safety, 83, Article 101909. https://doi.org/10.1016/j.strusafe.2019.101909
Wei, P., Zhang, X., & Beer, M. (2020). Adaptive experiment design for probabilistic integration. Computer Methods in Applied Mechanics and Engineering, 365, Article 113035. https://doi.org/10.1016/j.cma.2020.113035
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, Article 106886. https://doi.org/10.1016/j.ymssp.2020.106886
2019
Beer, M., Gholamy, A., & Kreinovich, V. (2019). A theoretical explanation for the efficiency of generalized harmonic wavelets in engineering and seismic spectral analysis. Matematičeskie struktury i modelirovanie, 3(51), 97-104. https://doi.org/10.25513/2222-8772.2019.3.97-104
Behrensdorf, J., Broggi, M., & Beer, M. (2019). Reliability Analysis of Networks Interconnected with Copulas. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4), Article 041006. https://doi.org/10.1115/1.4044043
Bi, S., Broggi, M., Wei, P., & Beer, M. (2019). The Bhattacharyya distance: Enriching the P-box in stochastic sensitivity analysis. Mechanical Systems and Signal Processing, 129, 265-281. https://doi.org/10.1016/j.ymssp.2019.04.035
Bi, S., Broggi, M., & Beer, M. (2019). The role of the Bhattacharyya distance in stochastic model updating. Mechanical Systems and Signal Processing, 117, 437-452. https://doi.org/10.1016/j.ymssp.2018.08.017
Chen, N., Xia, S., Yu, D., Liu, J., & Beer, M. (2019). Hybrid interval and random analysis for structural-acoustic systems including periodical composites and multi-scale bounded hybrid uncertain parameters. Mechanical Systems and Signal Processing, 115, 524-544. https://doi.org/10.1016/j.ymssp.2018.06.016
Chen, J., Chen, Y., Peng, Y., Zhu, S., Beer, M., & Comerford, L. (2019). Stochastic harmonic function based wind field simulation and wind-induced reliability of super high-rise buildings. Mechanical Systems and Signal Processing, 133, Article 106264. https://doi.org/10.1016/j.ymssp.2019.106264
Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., & Moens, D. (2019). A multivariate interval approach for inverse uncertainty quantification with limited experimental data. Mechanical Systems and Signal Processing, 118, 534-548. https://doi.org/10.1016/j.ymssp.2018.08.050
Faes, M., Sadeghi, J., Broggi, M., de Angelis, M., Patelli, E., Beer, M., & Moens, D. (2019). On the Robust Estimation of Small Failure Probabilities for Strong Nonlinear Models. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4), Article 041007. https://doi.org/10.1115/1.4044044
Feng, J., Liu, L., Wu, D., Li, G., Beer, M., & Gao, W. (2019). Dynamic reliability analysis using the extended support vector regression (X-SVR). Mechanical Systems and Signal Processing, 126, 368-391. https://doi.org/10.1016/j.ymssp.2019.02.027
Fragkoulis, V., Kougioumtzoglou, I. A., Pantelous, A. A., & Beer, M. (2019). Non-stationary response statistics of nonlinear oscillators with fractional derivative elements under evolutionary stochastic excitation. Nonlinear Dynamics, 97(4), 2291-2303. https://doi.org/10.1007/s11071-019-05124-0
George-Williams, H., Feng, G., Coolen, F. PA., Beer, M., & Patelli, E. (2019). Extending the survival signature paradigm to complex systems with non-repairable dependent failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(4), 505-519. https://doi.org/10.1177/1748006X18808085
He, L., Gomes, A. T., Broggi, M., & Beer, M. (2019). Failure analysis of soil slopes with advanced Bayesian networks. Periodica Polytechnica Civil Engineering, 63(3), 763-774. https://doi.org/10.3311/PPci.14092, https://doi.org/10.15488/10443
Miro, S., Willeke, T., Broggi, M., Seume, J. R., & Beer, M. (2019). Reliability Analysis of an Axial Compressor Based on One-Dimensional Flow Modeling and Survival Signature. Procedia CIRP, 5(3), Article 031003. https://doi.org/10.1115/1.4043150
