SStudyAcademic Library

Dashboard Shelves Open access My library Review

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

An efficient method based on AK-MCS for estimating failure probability function · Study

ArticleShelves

ArticleAn efficient method based on AK-MCS for estimating failure probability function

Chunyan Ling2020

Article2020

An efficient method based on AK-MCS for estimating failure probability function

Chunyan Ling · Zhenzhou Lü · Xiaobo Zhang

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

No readable copy stored yet — this record is metadata only.

Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Geotechnical Engineering and Analysis

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 51 citations exist upstream.

References

2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions 2005Reliability-based design sensitivity by efficient simulation 2004Robust design of structures using optimization methods 2013Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis 2006A direct decoupling approach for efficient reliability-based design optimization 2007Probabilistic uncertainty analysis by mean-value first order Saddlepoint Approximation

Cited by

2021On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning 2021Surrogate assisted active subspace and active subspace assisted surrogate—A new paradigm for high dimensional structural reliability analysis 2024Active learning Kriging-based multi-objective modeling and optimization for system reliability-based robust design 2022An ensemble model‐based method for estimating failure probability function with application in reliability‐based optimization 2022Global failure probability function estimation based on an adaptive strategy and combination algorithm 2022A general hierarchical ensemble-learning framework for structural reliability analysis 2022Deep reliability learning with latent adaptation for design optimization under uncertainty 2023Failure probability function estimation in augmented sample space combined active learning Kriging and adaptive sampling by Voronoi cells

Details

Year2020

Typearticle

Published2020-05-06

VenueReliability Engineering & System Safety

ISSN-L0951-8320

Languageen

Citations51

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

Identifiers

doi10.1016/j.ress.2020.106975

openalex_workW3022375971

Links

Imported from OpenAlex (CC0) — nothing here is generated.