|
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Ding, C.; Dang, C.; Valdebenito, M.A.; Faes, M.G.R.; Broggi, M.; Beer, M. |
First-passage probability estimation of high-dimensional nonlinear stochastic dynamic systems by a fractional moments-based mixture distribution approach |
2023 |
Mechanical Systems and Signal Processing |
185 |
109775 |
|
|
Faes, M.G.R.; Valdebenito, M.A. |
Fully decoupled reliability-based optimization of linear structures subject to Gaussian dynamic loading considering discrete design variables |
2021 |
Mechanical Systems and Signal Processing |
156 |
107616 |
|
|
Song, J.W.; Wei, P.F.; Valdebenito, M.A.; Faes, M.; Beer, M. |
Data-driven and active learning of variance-based sensitivity indices with Bayesian probabilistic integration |
2021 |
Mechanical Systems and Signal Processing |
163 |
108106 |
|
|
Yuan, X.K.; Liu, S.L.; Faes, M.; Valdebenito, M.A.; Beer, M. |
An efficient importance sampling approach for reliability analysis of time-variant structures subject to time-dependent stochastic load |
2021 |
Mechanical Systems and Signal Processing |
159 |
107699 |
|
|
Zhao, W.H.; Yang, L.C.; Dang, C.; Rocchetta, R.; Valdebenito, M.; Moens, D. |
Enriching stochastic model updating metrics: An efficient Bayesian approach using Bray-Curtis distance and an adaptive binning algorithm |
2022 |
Mechanical Systems and Signal Processing |
171 |
108889 |
|