Repository logo
 
Publication

Topology optimization using a natural neighbour meshless method combined with a bi-directional evolutionary algorithm

2022Journal article Restricted access
Simple item page
dc.contributor.authorGonçalves, D.C.
dc.contributor.authorLopes, Joel
dc.contributor.authorCampilho, R.D.S.G.
dc.contributor.authorBelinha, Jorge
dc.date.accessioned2023-01-31T12:28:52Z
dc.date.embargo2035-12-31
dc.date.issued2022
dc.description.abstractDue to recent developments in the additive manufacturing industry, topology optimization is nowadays a powerful computational tool that allows to design feasible lightweight components. Although the Finite Element Method (FEM) is the most applied discretization technique, meshless methods are currently established as accurate numerical methods with relevant advantages in several engineering fields. Nonetheless, the state-of-the-art of meshless methods in topology optimization is still scarce. This work develops the combination of a bi-direction structural optimization (BESO) algorithm with the Natural Neighbour Radial Point Interpolation Method (NNRPIM), a meshless method combining the natural neighbours geometric concept with the RPI shape functions. First, several benchmark examples are solved to evaluate the algorithm capability under several algorithm parameters. The proposed methodology is then implemented to design new automotive lightweight components. The results from the numerical applications demonstrate that the NNRPIM is a solid technique to be incorporated in optimization algorithms. Additionally, innovative automotive industry designs for additive manufacturing can be obtained using the presented approach.pt_PT
dc.description.sponsorshipThe authors truly acknowledge the funding provided by Ministério da Ciência, Tecnologia e Ensino Superior - Fundação para a Ciência e a Tecnologia (Portugal), under project funding POCI-01-0145-FEDER-028351. Additionally, the authors acknowledge the funding provided by LAETA, under project UIDB/50022/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.matcom.2021.11.021pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22031
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationPOCI-01-0145-FEDER-028351pt_PT
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0378475421004171pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectTopology optimizationpt_PT
dc.subjectBi-directional evolutionary topology optimization algorithmpt_PT
dc.subjectMeshless Methodspt_PT
dc.subjectNatural Neighbourspt_PT
dc.subjectNNRPIMpt_PT
dc.titleTopology optimization using a natural neighbour meshless method combined with a bi-directional evolutionary algorithmpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50022%2F2020/PT
oaire.citation.endPage328pt_PT
oaire.citation.startPage308pt_PT
oaire.citation.titleMathematics and Computers in Simulationpt_PT
oaire.citation.volume194pt_PT
oaire.fundingStream6817 - DCRRNI ID
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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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
relation.isProjectOfPublication80741b9a-280d-4972-b352-8d1375fbfb3b
relation.isProjectOfPublication.latestForDiscovery80741b9a-280d-4972-b352-8d1375fbfb3b

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ART5_DEM_JOB_2022.pdf
Size:
6.89 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ISEP – DEM – Artigos