| |
Author  |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Dang, C.; Valdebenito, M.A.; Faes, M.G.R.; Wei, P.F.; Beer, M. |
Structural reliability analysis: A Bayesian perspective |
2022 |
Structural Safety |
99 |
102259 |
|
|
|
Dang, C.; Wei, P.F.; Faes, M.G.R.; Valdebenito, M.A.; Beer, M. |
Interval uncertainty propagation by a parallel Bayesian global optimization method |
2022 |
Applied Mathematical Modelling |
108 |
220-235 |
|
|
|
Dang, C.; Wei, P.F.; Faes, M.G.R.; Valdebenito, M.A.; Beer, M. |
Parallel adaptive Bayesian quadrature for rare event estimation |
2022 |
Reliability Engineering & System Safety |
225 |
108621 |
|
|
|
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 |
|
|
|
Faes, M.G.R.; Valdebenito, M.A.; Yuan, X.K.; Wei, P.F.; Beer, M. |
Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics |
2021 |
Advances in Engineering Software |
155 |
102993 |
|
|
|
Fina, M.; Lauff, C.; Faes, M.G.R.; Valdebenito, M.A.; Wagner, W.; Freitag, S. |
Bounding imprecise failure probabilities in structural mechanics based on maximum standard deviation |
2023 |
Structural Safety |
101 |
102293 |
|
|
|
Ni, P.H.; Jerez, D.J.; Fragkoulis, V.C.; Faes, M.G.R.; Valdebenito, M.A.; Beer, M. |
Operator Norm-Based Statistical Linearization to Bound the First Excursion Probability of Nonlinear Structures Subjected to Imprecise Stochastic Loading |
2022 |
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A-Civil Engineering |
8 |
04021086 |
|
|
|
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.; Faes, M.G.R.; Liu, S.L.; Valdebenito, M.A.; Beer, M. |
Efficient imprecise reliability analysis using the Augmented Space Integral |
2021 |
Reliability Engineering & System Safety |
210 |
107477 |
|
|
|
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 |
|
|
|
Yuan, X.K.; Liu, S.L.; Valdebenito, M.A.; Faes, M.G.R.; Jerez, D.J.; Jensen, H.A.; Beer, M. |
Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space |
2021 |
Advances in Engineering Software |
157 |
103020 |
|
