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Journal Articles
- 2024
[j14]A. O. M. Kilicsoy
, J. Liedmann, Marcos A. Valdebenito, F.-J. Barthold, Matthias G. R. Faes:
Sobolev Neural Network With Residual Weighting as a Surrogate in Linear and Non-Linear Mechanics. IEEE Access 12: 137144-137161 (2024)- [j13]Jingwen Song, Yifan Cui, Pengfei Wei, Marcos A. Valdebenito, Weihong Zhang:
Constrained Bayesian optimization algorithms for estimating design points in structural reliability analysis. Reliab. Eng. Syst. Saf. 241: 109613 (2024) - [j12]Xiukai Yuan, Weiming Zheng, Chaofan Zhao, Marcos A. Valdebenito, Matthias G. R. Faes, Yiwei Dong:
Line sampling for time-variant failure probability estimation using an adaptive combination approach. Reliab. Eng. Syst. Saf. 243: 109885 (2024) - [j11]Chao Dang, Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer:
Bayesian active learning line sampling with log-normal process for rare-event probability estimation. Reliab. Eng. Syst. Saf. 246: 110053 (2024) - 2023
- [j10]Xiukai Yuan, Yugeng Qian, Jingqiang Chen, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer:
Global failure probability function estimation based on an adaptive strategy and combination algorithm. Reliab. Eng. Syst. Saf. 231: 108937 (2023) - 2022
- [j9]Changcong Zhou, Hanlin Zhang, Marcos A. Valdebenito, Haodong Zhao:
A general hierarchical ensemble-learning framework for structural reliability analysis. Reliab. Eng. Syst. Saf. 225: 108605 (2022) - [j8]Chao Dang, Pengfei Wei, Matthias G. R. Faes, Marcos A. Valdebenito, Michael Beer:
Parallel adaptive Bayesian quadrature for rare event estimation. Reliab. Eng. Syst. Saf. 225: 108621 (2022) - 2021
- [j7]Matthias G. R. Faes, Marcos A. Valdebenito, Xiukai Yuan, Pengfei Wei, Michael Beer:
Augmented reliability analysis for estimating imprecise first excursion probabilities in stochastic linear dynamics. Adv. Eng. Softw. 155: 102993 (2021) - [j6]Xiukai Yuan, Shaolong Liu, Marcos A. Valdebenito, Matthias G. R. Faes, Danko J. Jerez, Hector A. Jensen, Michael Beer:
Decoupled reliability-based optimization using Markov chain Monte Carlo in augmented space. Adv. Eng. Softw. 157-158: 103020 (2021) - [j5]Xiukai Yuan, Matthias G. R. Faes, Shaolong Liu, Marcos A. Valdebenito, Michael Beer:
Efficient imprecise reliability analysis using the Augmented Space Integral. Reliab. Eng. Syst. Saf. 210: 107477 (2021) - [j4]Marcos A. Valdebenito, Pengfei Wei, Jingwen Song, Michael Beer, Matteo Broggi:
Failure probability estimation of a class of series systems by multidomain Line Sampling. Reliab. Eng. Syst. Saf. 213: 107673 (2021) - 2020
- [j3]Hector A. Jensen, F. Mayorga, Marcos A. Valdebenito, J. Chen:
An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics. Reliab. Eng. Syst. Saf. 195: 106723 (2020) - 2019
- [j2]I. V. González, Marcos A. Valdebenito, J. I. Correa, Hector A. Jensen:
Calculation of second order statistics of uncertain linear systems applying reduced order models. Reliab. Eng. Syst. Saf. 190 (2019) - 2018
- [j1]Marcos A. Valdebenito, Hector A. Jensen, H. B. Hernández, Loujaine Mehrez:
Sensitivity estimation of failure probability applying line sampling. Reliab. Eng. Syst. Saf. 171: 99-111 (2018)
Informal and Other Publications
- 2024
- [i3]Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes:
On Fractional Moment Estimation from Polynomial Chaos Expansion. CoRR abs/2403.01948 (2024) - [i2]A. O. M. Kilicsoy, J. Liedmann, Marcos A. Valdebenito, F.-J. Barthold, Matthias G. R. Faes:
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics. CoRR abs/2407.16466 (2024) - 2022
- [i1]André Teófilo Beck, Lucas da Rosa Ribeiro, Marcos A. Valdebenito, Hector A. Jensen:
Risk-based Design of Regular Plane Frames Subject to Damage by Abnormal Events: a Conceptual Study. CoRR abs/2201.13221 (2022)
Coauthor Index
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