Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces
type: Item
instance of: scholarly article
title: Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces
author: Miroslav Vořechovský
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2022-11-11T00:00:00Z
full work available at URL: https://arxiv.org/abs/2208.02475
Mathematics Subject Classification ID: 74-10
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 7614986
zbMATH Keywords: categorical limit state function
zbMATH Keywords: \(\psi\) criterion for experimental design extension
zbMATH Keywords: failure surface refinement
zbMATH Keywords: nearest neighbor surrogate model
zbMATH Keywords: importance sampling
zbMATH Keywords: global sensitivity
describes a project that uses: AK-MCS
describes a project that uses: Scikit
describes a project that uses: EGO
describes a project that uses: NumPy
describes a project that uses: OpenTURNS
describes a project that uses: SciPy
describes a project that uses: Python
MaRDI profile type: Publication
OpenAlex ID: W4303453675
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DOI: 10.1016/J.CMA.2022.115606
description: scientific article; zbMATH DE number 7614986