SStudyAcademic Library

Dashboard Shelves Open access My library Review

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

An importance learning method for non-probabilistic reliability analysis and optimization · Study

ArticleShelves

ArticleAn importance learning method for non-probabilistic reliability analysis and optimization

Zeng Meng2018

Article2018

An importance learning method for non-probabilistic reliability analysis and optimization

Zeng Meng · Dequan Zhang · Пэйдэ Лю · Bo Yu

115 citations·0/0 files stored·Structural and Multidisciplinary Optimization

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

Probabilistic and Robust Engineering Design Geotechnical Engineering and Analysis Advanced Multi-Objective Optimization Algorithms

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 115 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 2004Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design 2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models 1998Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis 2016Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation 2003A new response surface methodology for reliability-based design optimization 1994A non-probabilistic concept of reliability

Cited by

2019An active weight learning method for efficient reliability assessment with small failure probability 2019A novel experimental data-driven exponential convex model for reliability assessment with uncertain-but-bounded parameters 2019An active failure-pursuing Kriging modeling method for time-dependent reliability analysis 2020A computational framework of kinematic accuracy reliability analysis for industrial robots 2020On reliability analysis method through rotational sparse grid nodes 2023A Kriging-based decoupled non-probability reliability-based design optimization scheme for piezoelectric PID control systems 2024An active learning Kriging model with approximating parallel strategy for structural reliability analysis 2023Reliability-based design optimization using adaptive Kriging-A single-loop strategy and a double-loop one

Details

Year2018

Typearticle

Published2018-10-28

VenueStructural and Multidisciplinary Optimization

ISSN-L1615-147X

Languageen

Citations115

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

Identifiers

doi10.1007/s00158-018-2128-7

openalex_workW2898474476

Links

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