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dc.contributor.authorAbdi, Meisamen
dc.contributor.authorAshcroft, Ianen
dc.contributor.authorWildman, Rickyen
dc.date.accessioned2017-10-23T15:15:53Z
dc.date.available2017-10-23T15:15:53Z
dc.date.issued2017-01-19
dc.identifier.citationAbdi,M. , Ashcroft, I., Wildman, R. (2017) Topology Optimization of Geometrically Nonlinear Structures using an Evolutionary Optimization Method. Engineering Optimization, 50 (11), pp. 1850-1870en
dc.identifier.urihttp://hdl.handle.net/2086/14685
dc.descriptionOpen access article
dc.description.abstractIso-XFEM method is an evolutionary optimization method developed in our previous studies to enable the generation of high resolution topology optimised designs suitable for additive manufacture. Conventional approaches for topology optimization require additional post-processing after optimization to generate a manufacturable topology with clearly defined smooth boundaries. Iso-XFEM aims to eliminate this time-consuming post-processing stage by defining the boundaries using isovalues of a structural performance criterion and an extended finite element method (XFEM) scheme. In this paper, the Iso-XFEM method is further developed to enable the topology optimization of geometrically nonlinear structures undergoing large deformations. This is achieved by implementing a total Lagrangian finite element formulation and defining a structural performance criterion appropriate for the objective function of the optimization problem. The Iso-XFEM solutions for geometrically nonlinear test-cases implementing linear and nonlinear modelling are compared, and the suitability of nonlinear modelling for the topology optimization of geometrically nonlinear structures is investigated.en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.subjectTopology optimizationen
dc.subjectXFEMen
dc.subjectGeometrically nonlinearen
dc.subjectEvolutionaryen
dc.subjectMesh refinementen
dc.titleTopology Optimization of Geometrically Nonlinear Structures using an Evolutionary Optimization Methoden
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1080/0305215x.2017.1418864
dc.peerreviewedYesen
dc.explorer.multimediaNoen
dc.funderEPSRC (Engineering and Physical Sciences Research Council)en
dc.projectidGrant number EP/I033335/2en
dc.cclicenceCC BYen
dc.date.acceptance2017-09-21en


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