Efficient computing technique for reliability analysis of high-dimensional and low-failure probability problems using active learning method-Reference-Cited by-同舟云学术

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Efficient computing technique for reliability analysis of high-dimensional and low-failure probability problems using active learning method

Published:2024-07 Issue: Volume:77 Page:103662
ISSN:0266-8920
Container-title:Probabilistic Engineering Mechanics
language:en
Short-container-title:Probabilistic Engineering Mechanics

Author:

Rajak Pijus,Roy Pronab^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. Updating robust reliability using structural test data;Papadimitriou;Probabilist. Eng. Mech.,2001

2. AK-SESC: a novel reliability procedure based on the integration of active learning kriging and sequential space conversion method;Ameryan;Reliab. Eng. Syst. Saf.,2022

3. An active learning reliability analysis method using adaptive Bayesian compressive sensing and Monte Carlo simulation (ABCS-MCS);Li;Reliab. Eng. Syst. Saf.,2022

4. Assessing small failure probabilities by AK-SS: an active learning method combining Kriging and Subset Simulation;Huang;Struct. Saf.,2016

5. Support vector regression based metamodeling for seismic reliability analysis of structures;Ghosh;Appl. Math. Model.,2018

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