Book Chapter
Showing results 1 - 11 out of 11
Journal Articles
Showing results 141 - 160 out of 313
2022
Han, R., Fragkoulis, V. C., Kong, F., Beer, M., & Peng, Y. (2022). Non-stationary response determination of nonlinear systems subjected to combined deterministic and evolutionary stochastic excitations. International Journal of Non-Linear Mechanics, 147, Article 104192. https://doi.org/10.1016/j.ijnonlinmec.2022.104192
Jensen, H. A., Jerez, D. J., & Beer, M. (2022). Structural synthesis considering mixed discrete–continuous design variables: A Bayesian framework. Mechanical Systems and Signal Processing, 162, Article 108042. https://doi.org/10.1016/j.ymssp.2021.108042
Jerez, D. J., Jensen, H. A., & Beer, M. (2022). An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters. Reliability Engineering and System Safety, 225, Article 108634. https://doi.org/10.1016/j.ress.2022.108634
Jerez, D. J., Jensen, H. A., Beer, M., & Chen, J. (2022). Asymptotic Bayesian Optimization: A Markov sampling-based framework for design optimization. Probabilistic Engineering Mechanics, 67, Article 103178. https://doi.org/10.1016/j.probengmech.2021.103178
Jerez, D. J., Jensen, H. A., Valdebenito, M. A., Misraji, M. A., Mayorga, F., & Beer, M. (2022). On the use of Directional Importance Sampling for reliability-based design and optimum design sensitivity of linear stochastic structures. Probabilistic Engineering Mechanics, 70, Article 103368. https://doi.org/10.1016/j.probengmech.2022.103368
Jerez, D. J., Jensen, H. A., & Beer, M. (2022). Reliability-based design optimization of structural systems under stochastic excitation: An overview. Mechanical Systems and Signal Processing, 166, Article 108397. https://doi.org/10.1016/j.ymssp.2021.108397
Kitahara, M., Song, J., Wei, P., Broggi, M., & Beer, M. (2022). A Distributionally Robust Approach for Mixed Aleatory and Epistemic Uncertainties Propagation. AIAA journal, 60(7), 4471-4477. https://doi.org/10.2514/1.J061394
Kitahara, M., Bi, S., Broggi, M., & Beer, M. (2022). Distribution-free stochastic model updating of dynamic systems with parameter dependencies. Structural safety, 97, Article 102227. https://doi.org/10.1016/j.strusafe.2022.102227
Kitahara, M., Bi, S., Broggi, M., & Beer, M. (2022). Nonparametric Bayesian stochastic model updating with hybrid uncertainties. Mechanical Systems and Signal Processing, 163, Article 108195. https://doi.org/10.1016/j.ymssp.2021.108195
Kougioumtzoglou, I. A., Ni, P., Mitseas, I. P., Fragkoulis, V. C., & Beer, M. (2022). An approximate stochastic dynamics approach for design spectrum based response analysis of nonlinear structural systems with fractional derivative elements. International Journal of Non-Linear Mechanics, 146, Article 104178. https://doi.org/10.1016/j.ijnonlinmec.2022.104178
Mei, L.-F., Yan, W.-J., Yuen, K.-V., & Beer, M. (2022). Structural novelty detection with Laplace asymptotic expansion of the Bhattacharyya distance of transmissibility and Bayesian resampling scheme. Journal of sound and vibration, 540, Article 117277. https://doi.org/10.1016/j.jsv.2022.117277
Morais, C., Yung, K. L., Johnson, K., Moura, R., Beer, M., & Patelli, E. (2022). Identification of human errors and influencing factors: A machine learning approach. Safety Science, 146, Article 105528. https://doi.org/10.1016/j.ssci.2021.105528
Morais, C., Estrada-Lugo, H. D., Tolo, S., Jacques, T., Moura, R., Beer, M., & Patelli, E. (2022). Robust data-driven human reliability analysis using credal networks. Reliability engineering & system
safety, 218(Part A), Article 107990. https://doi.org/10.1016/j.ress.2021.107990
Ni, P., Jerez, D. J., Fragkoulis, V. C., Faes, M. G. R., Valdebenito, M. A., & Beer, M. (2022). Operator Norm-Based Statistical Linearization to Bound the First Excursion Probability of Nonlinear Structures Subjected to Imprecise Stochastic Loading. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 8(1), Article 04021086. https://doi.org/10.1061/AJRUA6.0001217
Pasparakis, G. D., Kougioumtzoglou, I. A., Fragkoulis, V. C., Kong, F., & Beer, M. (2022). Excitation–response relationships for linear structural systems with singular parameter matrices: A periodized harmonic wavelet perspective. Mechanical Systems and Signal Processing, 169, Article 108701. https://doi.org/10.1016/j.ymssp.2021.108701
Pasparakis, G. D., dos Santos, K. R. M., Kougioumtzoglou, I. A., & Beer, M. (2022). Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods. Mechanical Systems and Signal Processing, 162, Article 107975. https://doi.org/10.1016/j.ymssp.2021.107975
Salomon, J., Behrensdorf, J., Winnewisser, N., Broggi, M., & Beer, M. (2022). Multidimensional resilience decision-making for complex and substructured systems. Resilient Cities and Structures, 1(3), 61-78. https://doi.org/10.1016/j.rcns.2022.10.005
Song, J., Wei, P., Valdebenito, M. A., Faes, M., & Beer, M. (2022). Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration. Mechanical Systems and Signal Processing, 163, Article 108106. https://doi.org/10.1016/j.ymssp.2021.108106
Wang, Q., Feng, Y., Wu, D., Yang, C., Yu, Y., Li, G., Beer, M., & Gao, W. (2022). Polyphase uncertainty analysis through virtual modelling technique. Mechanical Systems and Signal Processing, 162, Article 108013. https://doi.org/10.1016/j.ymssp.2021.108013
Yang, J. S., Chen, J. B., Beer, M., & Jensen, H. (2022). An efficient approach for dynamic-reliability-based topology optimization of braced frame structures with probability density evolution method. Advances in engineering software, 173, Article 103196. https://doi.org/10.1016/j.advengsoft.2022.103196
