Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks
type: Item
instance of: scholarly article
title: Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks
author: Karl A. Kalina
author: Lennart Linden
author: Jörg Brummund
author: Philipp Metsch
author: Markus Kästner
published in: Computational Mechanics
publication date: 2022-03-17T00:00:00Z
Mathematics Subject Classification ID: 74-XX
zbMATH DE Number: 7492666
zbMATH Keywords: data-driven approach
zbMATH Keywords: artificial neural networks
zbMATH Keywords: hyperelasticity
zbMATH Keywords: finite element simulation
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describes a project that uses: CANN
describes a project that uses: Gmsh
describes a project that uses: SyFi
describes a project that uses: FEniCS
MaRDI profile type: Publication
Wikidata QID: Q113326610
full work available at URL: s00466-021-02090-6
OpenAlex ID: W3203198738
DOI: 10.1007/S00466-021-02090-6
description: scientific article; zbMATH DE number 7492666