dc.creatorPicelli R.
dc.creatorVicente W.M.
dc.creatorPavanello R.
dc.date2014
dc.date2015-06-25T17:56:41Z
dc.date2015-11-26T14:46:29Z
dc.date2015-06-25T17:56:41Z
dc.date2015-11-26T14:46:29Z
dc.date.accessioned2018-03-28T21:56:14Z
dc.date.available2018-03-28T21:56:14Z
dc.identifier
dc.identifierEngineering Optimization. Taylor And Francis Ltd., v. , n. , p. - , 2014.
dc.identifier0305215X
dc.identifier10.1080/0305215X.2014.963069
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84907637745&partnerID=40&md5=522f1c4c866eb1fa5c5a2d23641db8de
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/87093
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/87093
dc.identifier2-s2.0-84907637745
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1252860
dc.descriptionThis article presents an evolutionary topology optimization method for compliance minimization of structures under design-dependent pressure loads. In traditional density based topology optimization methods, intermediate values of densities for the solid elements arise along the iterations. Extra boundary parametrization schemes are demanded when these methods are applied to pressure loading problems. An alternative methodology is suggested in this article for handling this type of load. With an extended bi-directional evolutionary structural optimization method associated with a partially coupled fluid–structure formulation, pressure loads are modelled with hydrostatic fluid finite elements. Due to the discrete nature of the method, the problem is solved without any need of pressure load surfaces parametrization. Furthermore, the introduction of a separate fluid domain allows the algorithm to model non-constant pressure fields with Laplace's equation. Three benchmark examples are explored in order to show the achievements of the proposed method.
dc.description
dc.description
dc.description
dc.description
dc.languageen
dc.publisherTaylor and Francis Ltd.
dc.relationEngineering Optimization
dc.rightsfechado
dc.sourceScopus
dc.titleBi-directional Evolutionary Structural Optimization For Design-dependent Fluid Pressure Loading Problems
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución