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dc.contributor.authorSimonetti, Hélio Luiz-
dc.contributor.authorAlmeida, Valério da Silva-
dc.contributor.authorNeves, Francisco de Assis das-
dc.contributor.authorGreco, Marcelo-
dc.date.accessioned2019-06-25T14:43:58Z-
dc.date.available2019-06-25T14:43:58Z-
dc.date.issued2019-
dc.identifier.citationSIMONETTI, H. L. et al. Multi-objective topology optimization using the Boundary Element Method. Structures, v. 19, p. 84-95, jun. 2019. Disponível em: <https://www.sciencedirect.com/science/article/pii/S2352012418301498>. Acesso em: 13 fev. 2019.pt_BR
dc.identifier.issn2352-0124-
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/11588-
dc.description.abstractThis article aims to explore the application of an evolutionary optimization technique for multi-objective optimization problems using as criteria the minimization of von Mises maximum stress and minimization of the maximum growth of internal structural strain energy. To evaluate the overall effect on the optimal design configuration, due to the removal of inefficient material from the structure by using these two optimization criteria, a goal weighting scheme is adopted, whereby the weight factors emphasize and balance the stress and strain energy criteria. Also considered in this study was the method of the exponentially weighted criterion for multi-objective optimization and the Pareto optimal concept. Thus, a contribution is made to the study of these two methods in the structural optimization procedure using a linear analysis by the Boundary Element Method. Four examples are presented to demonstrate the ability of the proposed method to solve structural design problems using multi-objective optimization.pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectMulti-objective optimizationpt_BR
dc.subjectWeighted sumpt_BR
dc.subjectExponentially weighted criterionpt_BR
dc.subjectEvolutionary structural optimizationpt_BR
dc.titleMulti-objective topology optimization using the Boundary Element Method.pt_BR
dc.typeArtigo publicado em periodicopt_BR
dc.identifier.uri2https://www.sciencedirect.com/science/article/pii/S2352012418301498pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.istruc.2018.12.002pt_BR
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