Random and multi-super-ellipsoidal variables hybrid reliability analysis based on a novel active learning kriging model
type: Item
instance of: scholarly article
title: Random and multi-super-ellipsoidal variables hybrid reliability analysis based on a novel active learning kriging model
zbMATH Open document ID: 1506.62388
author: Linxiong Hong
author: Huacong Li
author: Ning Gao
author: Jiangfeng Fu
author: Kai Peng
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-26T00:00:00Z
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62M40
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 65C20
zbMATH DE Number: 7337819
zbMATH Keywords: hybrid reliability analysis
zbMATH Keywords: kriging metamodel
zbMATH Keywords: random and multi-super-ellipsoidal variables
zbMATH Keywords: maximum failure probability
describes a project that uses: DACE
describes a project that uses: AK-MCS
MaRDI profile type: Publication
full work available at URL: j.cma.2020.113555
OpenAlex ID: W3101764990
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DOI: 10.1016/J.CMA.2020.113555
description: scientific article; zbMATH DE number 7337819