An active-learning algorithm that combines sparse polynomial chaos
expansions and bootstrap for structural reliability analysis

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An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

5 September 2017

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Papers citing "An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis"

18 / 18 papers shown

Title
Reliability analysis for non-deterministic limit-states using stochastic emulators Anderson V. Pires M. Moustapha S. Marelli Bruno Sudret 89 0 0 18 Dec 2024
A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces Elsayed M. Eshra Konstantinos G. Papakonstantinou Hamed Nikbakht 57 0 0 23 May 2024
UQ state-dependent framework for seismic fragility assessment of industrial components C. Nardin S. Marelli O. Bursi B. Sudret M. Broccardo 29 0 0 07 May 2024
Surrogate modeling for probability distribution estimation:uniform or adaptive design? Maijia Su Ziqi Wang O. Bursi M. Broccardo 54 2 0 10 Apr 2024
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification Jungho Kim Sang-ri Yi Ziqi Wang 78 6 0 07 Feb 2024
Reliability analysis for data-driven noisy models using active learning Anderson V. Pires M. Moustapha S. Marelli Bruno Sudret AI4CE 33 2 0 19 Jan 2024
A comprehensive framework for multi-fidelity surrogate modeling with noisy data: a gray-box perspective Katerina Giannoukou S. Marelli Bruno Sudret AI4CE 38 1 0 12 Jan 2024
A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation Jianhua Xian Ziqi Wang AI4CE 63 11 0 30 Sep 2023
On Active Learning for Gaussian Process-based Global Sensitivity Analysis Mohit Chauhan Mariel A. Ojeda-Tuz R. Catarelli K. Gurley Dimitrios Tsapetis Michael D. Shields 48 13 0 27 Aug 2023
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion Lukás Novák Michael D. Shields Václav Sadílek M. Vořechovský 49 8 0 31 Jan 2023
An adaptive multi-fidelity sampling framework for safety analysis of connected and automated vehicles Xianliang Gong Shuo Feng Yulin Pan 115 6 0 25 Oct 2022
Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces Miroslav Vorechovský 29 14 0 04 Aug 2022
Rare event estimation using stochastic spectral embedding Paul Wagner S. Marelli I. Papaioannou D. Štraub Bruno Sudret 69 15 0 09 Jun 2021
Sequential active learning of low-dimensional model representations for reliability analysis Max Ehre I. Papaioannou Bruno Sudret D. Štraub 65 10 0 08 Jun 2021
Active learning for structural reliability: survey, general framework and benchmark M. Moustapha S. Marelli Bruno Sudret AI4CE 63 167 0 03 Jun 2021
Stochastic spectral embedding S. Marelli Paul Wagner C. Lataniotis Bruno Sudret 60 23 0 09 Apr 2020
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis Ziqi Wang M. Broccardo 21 19 0 27 Aug 2019
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data Xihaier Luo A. Kareem BDL UQCV 50 29 0 08 Jul 2019