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Optimization of structures modeled with a Meshfree approach

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dc.contributor.authorBernardo, G. M. S.
dc.contributor.authorLoja, Amélia
dc.date.accessioned2015-08-21T13:49:31Z
dc.date.available2015-08-21T13:49:31Z
dc.date.issued2014
dc.description.abstractRadial basis functions are being used in different scientific areas in order to reproduce the geometrical modeling of an object/structure, as well as to predict its behavior. Due to its characteristics, these functions are well suited for meshfree modeling of physical quantities, which for instances can be associated to the data sets of 3D laser scanning point clouds. In the present work the geometry of a structure is modeled by using multiquadric radial basis functions, and its configuration is further optimized in order to obtain better performances concerning to its static and dynamic behavior. For this purpose the authors consider the particle swarm optimization technique. A set of case studies is presented to illustrate the adequacy of the meshfree model used, as well as its link to particle swarm optimization technique. © 2014 IEEE.por
dc.identifier.citationBERNARDO, G. M. S.; LOJA, Maria Amélia Ramos – Optimization of structures modeled with a Meshfree approach. In 6th World Congress on Nature and Biologically Inspired Computing, NaBIC. New York : IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. ISBN: 978-147995937-2. Art. nr. 6921881, pp. 220-225por
dc.identifier.doi10.1016/j.compstruct.2013.08.005
dc.identifier.isbn978-147995937-2
dc.identifier.urihttp://hdl.handle.net/10400.21/4911
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEE - Institute of Electrical and Electronics Engineers Inc.por
dc.relation.ispartofseries6921881
dc.subjectMeshfree Methodpor
dc.subjectParticle Swarm Optimizationpor
dc.subjectPoint Cloudspor
dc.subjectRadial Basis Functionspor
dc.subjectStructural Optimizationpor
dc.subjectStructure Modelingpor
dc.titleOptimization of structures modeled with a Meshfree approachpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceNew Yorkpor
oaire.citation.endPage225por
oaire.citation.startPage220por
oaire.citation.title6th World Congress on Nature and Biologically Inspired Computing, NaBICpor
person.familyNameLoja
person.givenNameAmélia
person.identifier.ciencia-idA016-59D1-2D00
person.identifier.orcid0000-0002-4452-5840
person.identifier.ridI-7513-2015
person.identifier.scopus-author-id15741348500
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication9f43a546-1632-49c5-bd44-94aac2d7b648
relation.isAuthorOfPublication.latestForDiscovery9f43a546-1632-49c5-bd44-94aac2d7b648

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