Series System Reliability of Uncertain Linear Structures under Gaussian Excitation by Cross Entropy–Based Importance Sampling-Reference-Cited by-同舟云学术

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Series System Reliability of Uncertain Linear Structures under Gaussian Excitation by Cross Entropy–Based Importance Sampling

Published:2022-01 Issue:1 Volume:148 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Kanjilal Oindrila¹^ORCID,Papaioannou Iason²,Straub Daniel³^ORCID

Affiliation:

1. Postdoctoral Fellow, Engineering Risk Analysis Group, Technische Universität München, München 80290, Germany (corresponding author). ORCID: .

2. Senior Researcher, Engineering Risk Analysis Group, Technische Universität München, München 80290, Germany.

3. Associate Professor, Engineering Risk Analysis Group, Technische Universität München, München 80290, Germany. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0002015

Reference38 articles.

1. First excursion probabilities for linear systems by very efficient importance sampling

2. Important sampling in high dimensions

3. Estimation of small failure probabilities in high dimensions by subset simulation

4. Structural Reliability Applications of Nonstationary Spectral Characteristics

5. On the Number of Exits Across the Boundary of a Region by a Vector Stochastic Process

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review;Probabilistic Engineering Mechanics;2023-07

2. Bayesian updating of reliability by cross entropy-based importance sampling;Structural Safety;2023-05

3. An importance sampling method for structural reliability analysis based on interpretable deep generative network;Engineering with Computers;2023-03-01

4. Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling;Journal of Computational Physics;2023-01

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