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An evolutionary structural optimization algorithm for the analysis of light automobile parts using a meshless technique

2022Journal article Restricted access
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dc.contributor.authorGonçalves, Diogo
dc.contributor.authorLopes, Joel
dc.contributor.authorCampilho, Raul
dc.contributor.authorBelinha, Jorge
dc.date.accessioned2023-01-31T13:55:15Z
dc.date.embargo2035-12-31
dc.date.issued2022
dc.description.abstractPurpose The purpose of the present work is to develop the combination of the radial point interpolation method (RPIM) with a bi-directional evolutionary structural optimization (BESO) algorithm and extend it to the analysis of benchmark examples and automotive industry applications. Design/methodology/approach A BESO algorithm capable of detecting variations in the stress level of the structure, and thus respond to those changes by reinforcing the solid material, is developed. A meshless method, the RPIM, is used to iteratively obtain the stress field. The obtained optimal topologies are then recreated and numerically analyzed to validate its proficiency. Findings The proposed algorithm is capable to achieve accurate benchmark material distributions. Implementation of the BESO algorithm combined with the RPIM allows developing innovative lightweight automotive structures with increased performance. Research limitations/implications Computational cost of the topology optimization analysis is constrained by the nodal density discretizing the problem domain. Topology optimization solutions are usually complex, whereby they must be fabricated by additive manufacturing techniques and experimentally validated. Practical implications In automotive industry, fuel consumption, carbon emissions and vehicle performance is influenced by structure weight. Therefore, implementation of accurate topology optimization algorithms to design lightweight (cost-efficient) components will be an asset in industry. Originality/value Meshless methods applications in topology optimization are not as widespread as the finite element method (FEM). Therefore, this work enhances the state-of-the-art of meshless methods and demonstrates the suitability of the RPIM to solve topology optimization problems. Innovative lightweight automotive structures are developed using the proposed methodology.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1108/EC-05-2021-0271pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22033
dc.language.isoengpt_PT
dc.publisherEmeraldpt_PT
dc.relation.publisherversionhttps://www.emerald.com/insight/content/doi/10.1108/EC-05-2021-0271/full/htmlpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectTopology optimizationpt_PT
dc.subjectStructural optimizationpt_PT
dc.subjectMeshless methodspt_PT
dc.subjectRadial point interpolation methodpt_PT
dc.titleAn evolutionary structural optimization algorithm for the analysis of light automobile parts using a meshless techniquept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2107pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage2081pt_PT
oaire.citation.titleEngineering Computationspt_PT
oaire.citation.volume39pt_PT
person.familyNameLopes
person.familyNameCampilho
person.familyNameBelinha
person.givenNameJoel
person.givenNameRaul Duarte Salgueiral Gomes
person.givenNameJorge
person.identifier.ciencia-id0314-43B9-03D4
person.identifier.ciencia-id321F-ACEC-5616
person.identifier.orcid0000-0003-2937-8712
person.identifier.orcid0000-0003-4167-4434
person.identifier.orcid0000-0002-0539-7057
person.identifier.ridA-2118-2014
person.identifier.scopus-author-id14022409500
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7cf26e4a-6fee-4021-99af-31b81c8f4fa3
relation.isAuthorOfPublication4decb370-eb85-4ee1-987f-ec328565ea07
relation.isAuthorOfPublication27a63533-4e4a-46c6-b4d4-9270cc6a2371
relation.isAuthorOfPublication.latestForDiscovery27a63533-4e4a-46c6-b4d4-9270cc6a2371

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