On the use of AI formetamodeling
Carregando...
Data
2024
Data de publicação:
Autores IPEN
Orientador
Título da Revista
ISSN da Revista
Título do Volume
É parte de
É parte de
É parte de
Soft Computing
Exportar
Resumo
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.
Como referenciar
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. Soft Computing, v. 28, n. 9-10, p. 6937-6951, 2024. DOI: 10.1007/s00500-023-09491-0. Disponível em: https://repositorio.ipen.br/handle/123456789/48174. Acesso em: 15 Mar 2025.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.