On the use of AI formetamodeling
dc.contributor.author | DRIEMEIER, LARISSA | |
dc.contributor.author | CABRAL, EDUARDO L.L. | |
dc.contributor.author | RODRIGUES, GABRIEL L. | |
dc.contributor.author | TSUZUKI, MARCOS | |
dc.contributor.author | ALVES, MARCILIO | |
dc.contributor.author | COSTA, LUCAS P. da | |
dc.contributor.author | MOURA, RAFAEL T. | |
dc.coverage | Internacional | |
dc.date.accessioned | 2024-08-09T17:40:06Z | |
dc.date.available | 2024-08-09T17:40:06Z | |
dc.date.issued | 2024 | |
dc.description.abstract | In scenarios where complex analyses are routinely conducted on similar structures, such as in a redesign process to meet performance requirements or when input parameters require frequent adjustments within a specified domain, a practical approach involves the use of metamodels calibrated using machine learning methodologies. In our investigation, we introduce a metamodel that utilizes an artificial neural network to analyze 3D nonlinear structures undergoing plastic deformations and large strains. Snap-through and snapback behaviors are addressed through network training, which is based on 10,000 Force vs Displacement curves (target outputs) obtained from nonlinear finite element analyses. This interplay between finite element analysis and machine learning, as demonstrated here, exhibits promising potential as an effective technique. The results indicate that the proposed deep neural network can learn from the simulations of finite elements. The discussion explores scenarios where the utilization of AI in the analysis of nonlinear structures is justified. | |
dc.format.extent | 6937-6951 | |
dc.identifier.citation | DRIEMEIER, LARISSA; CABRAL, EDUARDO L.L.; RODRIGUES, GABRIEL L.; TSUZUKI, MARCOS; ALVES, MARCILIO; COSTA, LUCAS P. da; MOURA, RAFAEL T. On the use of AI formetamodeling: a case study of a 3D bar structure. <b>Soft Computing</b>, v. 28, n. 9-10, p. 6937-6951, 2024. DOI: <a href="https://dx.doi.org/10.1007/s00500-023-09491-0">10.1007/s00500-023-09491-0</a>. Disponível em: https://repositorio.ipen.br/handle/123456789/48174. | |
dc.identifier.doi | 10.1007/s00500-023-09491-0 | |
dc.identifier.fasciculo | 9-10 | |
dc.identifier.issn | 1432-7643 | |
dc.identifier.percentilfi | 59.1 | |
dc.identifier.percentilfiCiteScore | 88.67 | |
dc.identifier.uri | https://repositorio.ipen.br/handle/123456789/48174 | |
dc.identifier.vol | 28 | |
dc.relation.ispartof | Soft Computing | |
dc.rights | openAccess | |
dc.subject | neural networks | |
dc.subject | artificial intelligence | |
dc.subject | finite element method | |
dc.subject | simulation | |
dc.subject | machine learning | |
dc.title | On the use of AI formetamodeling | |
dc.type | Artigo de periódico | |
dspace.entity.type | Publication | |
ipen.autor | EDUARDO LOBO LUSTOSA CABRAL | |
ipen.codigoautor | 496 | |
ipen.contributor.ipenauthor | EDUARDO LOBO LUSTOSA CABRAL | |
ipen.identifier.fi | 3.1 | |
ipen.identifier.fiCiteScore | 8.1 | |
ipen.identifier.ipendoc | 30499 | |
ipen.identifier.iwos | WoS | |
ipen.range.fi | 3.000 - 4.499 | |
ipen.range.percentilfi | 50.00 - 74.99 | |
ipen.subtitulo | a case study of a 3D bar structure | |
ipen.type.genre | Artigo | |
relation.isAuthorOfPublication | de87f375-d22e-4af7-82ec-48091108be70 | |
relation.isAuthorOfPublication.latestForDiscovery | de87f375-d22e-4af7-82ec-48091108be70 | |
sigepi.autor.atividade | EDUARDO LOBO LUSTOSA CABRAL:496:420:N |