Book Chapter
Showing results 1 - 11 out of 11
Journal Articles
Showing results 121 - 140 out of 313
2023
Zheng, Z., Beer, M., & Nackenhorst, U. (2023). An iterative multi-fidelity scheme for simulating multi-dimensional non-Gaussian random fields. Mechanical Systems and Signal Processing, 200, Article 110643. https://doi.org/10.1016/j.ymssp.2023.110643
Zheng, Z., Valdebenito, M., Beer, M., & Nackenhorst, U. (2023). A stochastic finite element scheme for solving partial differential equations defined on random domains. Computer Methods in Applied Mechanics and Engineering, 405, Article 115860. https://doi.org/10.1016/j.cma.2022.115860
Zheng, Z., Dai, H., & Beer, M. (2023). Efficient structural reliability analysis via a weak-intrusive stochastic finite element method. Probabilistic Engineering Mechanics, 71, Article 103414. https://doi.org/10.1016/j.probengmech.2023.103414
Zheng, Z., Valdebenito, M., Beer, M., & Nackenhorst, U. (2023). Simulation of random fields on random domains. Probabilistic Engineering Mechanics, 73, Article 103455. https://doi.org/10.1016/j.probengmech.2023.103455
2022
Behrendt, M., Kitahara, M., Kitahara, T., Comerford, L., & Beer, M. (2022). Data-driven reliability assessment of dynamic structures based on power spectrum classification. Engineering structures, 268, Article 114648. https://doi.org/10.1016/j.engstruct.2022.114648
Behrendt, M., Angelis, M. D., Comerford, L., Zhang, Y., & Beer, M. (2022). Projecting interval uncertainty through the discrete Fourier transform: An application to time signals with poor precision. Mechanical Systems and Signal Processing, 172, Article 108920. https://doi.org/10.1016/j.ymssp.2022.108920
Behrendt, M., Bittner, M., Comerford, L., Beer, M., & Chen, J. (2022). Relaxed power spectrum estimation from multiple data records utilising subjective probabilities. Mechanical Systems and Signal Processing, 165, Article 108346. https://doi.org/10.1016/j.ymssp.2021.108346
Bi, S., He, K., Zhao, Y., Moens, D., Beer, M., & Zhang, J. (2022). Towards the NASA UQ Challenge 2019: Systematically forward and inverse approaches for uncertainty propagation and quantification. Mechanical Systems and Signal Processing, 165, Article 108387. https://doi.org/10.1016/j.ymssp.2021.108387
Chen, G., Beer, M., & Liu, Y. (2022). Modeling response spectrum compatible pulse-like ground motion. Mechanical Systems and Signal Processing, 177, Article 109177. https://doi.org/10.1016/j.ymssp.2022.109177
Cheng, M., Dang, C., Frangopol, D. M., Beer, M., & Yuan, X.-X. (2022). Transfer prior knowledge from surrogate modelling: A meta-learning approach. Computers and Structures, 260, Article 106719. https://doi.org/10.1016/j.compstruc.2021.106719
Dai, H., Zhang, R., & Beer, M. (2022). A new perspective on the simulation of cross-correlated random fields. Structural safety, 96, Article 102201. https://doi.org/10.1016/j.strusafe.2022.102201
Dang, C., Wei, P., Faes, M. G. R., & Beer, M. (2022). Bayesian probabilistic propagation of hybrid uncertainties: Estimation of response expectation function, its variable importance and bounds. Computers and Structures, 270, Article 106860. https://doi.org/10.1016/j.compstruc.2022.106860
Dang, C., Wei, P., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2022). Interval uncertainty propagation by a parallel Bayesian global optimization method. Applied mathematical modelling, 108, 220-235. https://doi.org/10.1016/j.apm.2022.03.031
Dang, C., Wei, P., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2022). Parallel adaptive Bayesian quadrature for rare event estimation. Reliability Engineering and System Safety, 225, Article 108621. https://doi.org/10.1016/j.ress.2022.108621
Dang, C., Valdebenito, M. A., Faes, M. G. R., Wei, P., & Beer, M. (2022). Structural reliability analysis: A Bayesian perspective. Structural safety, 99, Article 102259. https://doi.org/10.1016/j.strusafe.2022.102259
Faes, M. G. R., Broggi, M., Chen, G., Phoon, K. K., & Beer, M. (2022). Distribution-free P-box processes based on translation theory: Definition and simulation. Probabilistic Engineering Mechanics, 69, Article 103287. https://doi.org/10.1016/j.probengmech.2022.103287
Faes, M. G. R., Broggi, M., Spanos, P. D., & Beer, M. (2022). Elucidating appealing features of differentiable auto-correlation functions: A study on the modified exponential kernel. Probabilistic Engineering Mechanics, 69, Article 103269. https://doi.org/10.1016/j.probengmech.2022.103269
Feng, D. C., Cao, X. Y., & Beer, M. (2022). An enhanced PDEM-based framework for reliability analysis of structures considering multiple failure modes and limit states. Probabilistic Engineering Mechanics, 70, Article 103367. https://doi.org/10.1016/j.probengmech.2022.103367
Feng, K., Ni, Q., Beer, M., Du, H., & Li, C. (2022). A novel similarity-based status characterization methodology for gear surface wear propagation monitoring. Tribology international, 174, Article 107765. https://doi.org/10.1016/j.triboint.2022.107765
Fragkoulis, V. C., Kougioumtzoglou, I. A., Pantelous, A. A., & Beer, M. (2022). Joint Statistics of Natural Frequencies Corresponding to Structural Systems with Singular Random Parameter Matrices. Journal of engineering mechanics, 148(3). https://doi.org/10.1061/(ASCE)EM.1943-7889.0002081
