FEA Structural Optimization Based on Metagraphs

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dc.contributor.authorMontoya-Zapata D.
dc.contributor.authorAcosta D.A.
dc.contributor.authorRuiz-Salguero O.
dc.contributor.authorSanchez-Londono D.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Procesosspa
dc.contributor.researchgroupProcesos Ambientales (GIPAB)spa
dc.creatorMontoya-Zapata D.
dc.creatorAcosta D.A.
dc.creatorRuiz-Salguero O.
dc.creatorSanchez-Londono D.
dc.date.accessioned2021-04-16T20:30:27Z
dc.date.available2021-04-16T20:30:27Z
dc.date.issued2019-01-01
dc.description.abstractEvolutionary Structural Optimization (ESO) seeks to mimic the form in which nature designs shapes. This paper focuses on shape carving triggered by environmental stimuli. In this realm, existing algorithms delete under - stressed parts of a basic shape, until a reasonably efficient (under some criterion) shape emerges. In the present article, we state a generalization of such approaches in two forms: (1) We use a formalism that enables stimuli from different sources, in addition to stress ones (e.g. kinematic constraints, friction, abrasion). (2) We use metagraphs built on the Finite Element constraint graphs to eliminate the dependency of the evolution on the particular neighborhood chosen to be deleted in a given iteration. The proposed methodology emulates 2D landmark cases of ESO. Future work addresses the implementation of such stimuli type, the integration of our algorithm with evolutionary based techniques and the extension of the method to 3D shapes. © 2019, Springer International Publishing AG, part of Springer Nature.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=10284
dc.identifier.doi10.1007/978-3-319-94120-2_20
dc.identifier.issn21945357
dc.identifier.issn21945365
dc.identifier.otherWOS;000558195800020
dc.identifier.otherSCOPUS;2-s2.0-85048638704
dc.identifier.urihttp://hdl.handle.net/10784/29454
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048638704&doi=10.1007%2f978-3-319-94120-2_20&partnerID=40&md5=a52a5b095068715838aee2e3b7c40753
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/2194-5357
dc.sourceAdvances In Intelligent Systems And Computing
dc.subject.keywordEvolutionary algorithmseng
dc.subject.keywordFinite element methodeng
dc.subject.keywordIterative methodseng
dc.subject.keywordSoft computingeng
dc.subject.keywordStructural optimizationeng
dc.subject.keywordTopologyeng
dc.subject.keyword3-D shapeeng
dc.subject.keywordBasic shapeseng
dc.subject.keywordConstraint grapheng
dc.subject.keywordEnvironmental stimulieng
dc.subject.keywordEvolutionary structural optimizationeng
dc.subject.keywordKinematic constraintseng
dc.subject.keywordMathematical grapheng
dc.subject.keywordNature designeng
dc.subject.keywordShape optimizationeng
dc.titleFEA Structural Optimization Based on Metagraphseng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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