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Article: A data-driven process for estimating nonlinear material models

TitleA data-driven process for estimating nonlinear material models
Authors
KeywordsCOMSOL multiphysics
Elasto-plastic
FEA
Material model
Nonlinear elastic model
Virtual tensile test
Issue Date2011
PublisherTrans Tech Publications Ltd.
Citation
Applied Mechanics And Materials, 2011, v. 50-51, p. 599-604 How to Cite?
AbstractDriven by the wide range of new material properties offered by multi-material 3D printing, there is emerging need to create predictive material models for these materials. A data driven process for estimating nonlinear material model is presented in this paper. In contrast with classical methods which derive the engineering stress-strain relationship assuming constant cross-section area and fixed length of a specimen, the proposed approach takes full advantage of 3D geometry of the specimen to estimate the material models. Give a hypothetical material model, virtual tensile tests are performed using Finite Element Analysis (FEA) method, and the parameters of the material model are estimated by minimizing the discrepancies of the virtual responses and the experimental results. The detailed material models, numerical algorithms as well as the optimization approaches are presented and finally preliminary results are offered. © (2011) Trans Tech Publications.
DescriptionInternational Conference on Intelligent Structure and Vibration Control ( ISVC 2011), Chongqing, China,14-16 January 2011
Persistent Identifierhttp://hdl.handle.net/10722/137347
ISSN
2015 SCImago Journal Rankings: 0.113
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorKou, XYen_HK
dc.contributor.authorTan, STen_HK
dc.contributor.authorLipson, Hen_HK
dc.date.accessioned2011-08-26T14:23:33Z-
dc.date.available2011-08-26T14:23:33Z-
dc.date.issued2011en_HK
dc.identifier.citationApplied Mechanics And Materials, 2011, v. 50-51, p. 599-604en_HK
dc.identifier.issn1660-9336en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137347-
dc.descriptionInternational Conference on Intelligent Structure and Vibration Control ( ISVC 2011), Chongqing, China,14-16 January 2011-
dc.description.abstractDriven by the wide range of new material properties offered by multi-material 3D printing, there is emerging need to create predictive material models for these materials. A data driven process for estimating nonlinear material model is presented in this paper. In contrast with classical methods which derive the engineering stress-strain relationship assuming constant cross-section area and fixed length of a specimen, the proposed approach takes full advantage of 3D geometry of the specimen to estimate the material models. Give a hypothetical material model, virtual tensile tests are performed using Finite Element Analysis (FEA) method, and the parameters of the material model are estimated by minimizing the discrepancies of the virtual responses and the experimental results. The detailed material models, numerical algorithms as well as the optimization approaches are presented and finally preliminary results are offered. © (2011) Trans Tech Publications.en_HK
dc.languageengen_US
dc.publisherTrans Tech Publications Ltd.en_US
dc.relation.ispartofApplied Mechanics and Materialsen_HK
dc.subjectCOMSOL multiphysicsen_HK
dc.subjectElasto-plasticen_HK
dc.subjectFEAen_HK
dc.subjectMaterial modelen_HK
dc.subjectNonlinear elastic modelen_HK
dc.subjectVirtual tensile testen_HK
dc.titleA data-driven process for estimating nonlinear material modelsen_HK
dc.typeArticleen_HK
dc.identifier.emailTan, ST:sttan@hkucc.hku.hken_HK
dc.identifier.authorityTan, ST=rp00174en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.4028/www.scientific.net/AMM.50-51.599en_HK
dc.identifier.scopuseid_2-s2.0-79951654281en_HK
dc.identifier.hkuros191246en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79951654281&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume50-51en_HK
dc.identifier.spage599en_HK
dc.identifier.epage604en_HK
dc.identifier.isiWOS:000302967800121-
dc.publisher.placeSwitzerlanden_HK
dc.identifier.scopusauthoridKou, XY=7005662507en_HK
dc.identifier.scopusauthoridTan, ST=7403366758en_HK
dc.identifier.scopusauthoridLipson, H=7006792691en_HK

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