Reduced order modeling for nonlinear structural analysis using Gaussian process regression
type: Item
instance of: scholarly article
title: Reduced order modeling for nonlinear structural analysis using Gaussian process regression
zbMATH Open document ID: 1440.65206
author: Mengwu Guo
author: Jan S. Hesthaven
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2020-04-09T00:00:00Z
full work available at URL: http://infoscience.epfl.ch/record/232957
Mathematics Subject Classification ID: 65N30
Mathematics Subject Classification ID: 65N99
zbMATH DE Number: 7188651
zbMATH Keywords: reduced basis method
zbMATH Keywords: nonlinear structural analysis
zbMATH Keywords: proper orthogonal decomposition
zbMATH Keywords: Gaussian process regression
zbMATH Keywords: machine learning
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describes a project that uses: rbMIT
describes a project that uses: FEAPpv
describes a project that uses: PMTK
describes a project that uses: PRMLT
describes a project that uses: FLagSHyP
MaRDI profile type: Publication
OpenAlex ID: W2772709428
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Wikidata QID: Q129495185
DOI: 10.1016/J.CMA.2018.07.017
description: scientific article; zbMATH DE number 7188651