Buchbeiträge
Zeige Ergebnisse 1 - 6 von 6
Journal-Artikel
Zeige Ergebnisse 101 - 120 von 279
2022
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, Artikel 108621. Vorabveröffentlichung online. 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, Artikel 102259. Vorabveröffentlichung online. 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, Artikel 103287. Vorabveröffentlichung online. 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, Artikel 103269. Vorabveröffentlichung online. 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, Artikel 103367. Vorabveröffentlichung online. 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, Artikel 107765. Vorabveröffentlichung online. 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). Vorabveröffentlichung online. https://doi.org/10.1061/(ASCE)EM.1943-7889.0002081
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, Artikel 104192. Vorabveröffentlichung online. 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, Artikel 108042. Vorabveröffentlichung online. 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, Artikel 108634. Vorabveröffentlichung online. 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, Artikel 103178. Vorabveröffentlichung online. 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, Artikel 103368. Vorabveröffentlichung online. 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, Artikel 108397. Vorabveröffentlichung online. 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. Vorabveröffentlichung online. 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, Artikel 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, Artikel 108195. Vorabveröffentlichung online. 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, Artikel 104178. Vorabveröffentlichung online. 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, Artikel 117277. Vorabveröffentlichung online. 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, Artikel 105528. Vorabveröffentlichung online. 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), Artikel 107990. Vorabveröffentlichung online. https://doi.org/10.1016/j.ress.2021.107990
