Application and optimization of an artificial neural network to forecast thermo-mechanical behaviour of HLE steel under weld spot effect

The reliability of assembled structures is significantly influenced by the applied thermomechanical stresses and the robustness degree of the simulation numerical methods. The utilization of classical numerical methods such as the finite element method (FEM), extended finite element method XFEM, and...

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Detalles Bibliográficos
Autor principal: Belahcene, Brahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360599/
https://www.ncbi.nlm.nih.gov/pubmed/37484425
http://dx.doi.org/10.1016/j.heliyon.2023.e16739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360599/
https://www.ncbi.nlm.nih.gov/pubmed/37484425
http://dx.doi.org/10.1016/j.heliyon.2023.e16739

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