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First and second order approximate reliability analysis methods using evidence theory · Study

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ArticleFirst and second order approximate reliability analysis methods using evidence theory

Zilong Zhang2015

Article2015

First and second order approximate reliability analysis methods using evidence theory

Zilong Zhang · Chao Jiang · G. G. Wang · Xu Han

145 citations·0/0 files stored·Reliability Engineering & System Safety

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Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Risk and Safety Analysis

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 145 citations exist upstream.

References

1974Exact and Invariant Second-Moment Code Format 1978Structural reliability under combined random load sequences 1977A mathematical theory of evidence 2002Combination of Evidence in Dempster-Shafer Theory 1994Advances in the Dempster-Shafer theory of evidence 2001Reliability analysis—a review and some perspectives 2003Constructing Probability Boxes and Dempster-Shafer Structures 1994Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability

Cited by

2017Structural reliability analysis for p-boxes using multi-level meta-models 2019Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation 2019Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis 2021Evidence-theory-based structural reliability analysis with epistemic uncertainty: a review 2017An efficient-robust structural reliability method by adaptive finite-step length based on Armijo line search 2019Parallelotope-formed evidence theory model for quantifying uncertainties with correlation 2019A high-precision probabilistic uncertainty propagation method for problems involving multimodal distributions 2016Unified reliability analysis by active learning Kriging model combining with random‐set based Monte Carlo simulation method

Details

Year2015

Typearticle

Published2015-01-01

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations145

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

Identifiers

doi10.1016/j.ress.2014.12.011

openalex_workW1978893680

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