Data-driven optimization of reliability using buffered failure probability-Reference-Cited by-同舟云学术

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Data-driven optimization of reliability using buffered failure probability

Published:2022-09 Issue: Volume:98 Page:102232
ISSN:0167-4730
Container-title:Structural Safety
language:en
Short-container-title:Structural Safety

Author:

Byun Ji-Eun^ORCID,Royset Johannes O.

Funder

Office of Naval Research

Air Force Office of Scientific Research

Alexander von Humboldt-Stiftung

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Reference40 articles.

1. Risk assessment and decision analysis with Bayesian networks;Fenton,2018

2. Extensions of Stochastic Optimization Results from Problems with Simple to Problems with Complex Failure Probability Functions;Royset;J Optim Theory Appl,2007

3. (Sub-)Gradient formulae for probability functions of random inequality systems under Gaussian distribution;Ackooij;SIAM/ASA J Uncertainty Quantif,2017

4. Sensitivity estimation of failure probability applying line sampling;Valdebenito;Reliab Eng Syst Saf,2018

5. A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliability;Melchers;Comput Struct,2004

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3. Performance Bounds for PDE-Constrained Optimization under Uncertainty;SIAM Journal on Optimization;2023-08-02

4. S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method;Reliability Engineering & System Safety;2023-08

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