151698 20251017144633.0 doi 10.1051/meca/2021031 sideral 126307 ART-2021-126307 eng Reille A. Learning data-driven reduced elastic and inelastic models of spot-welded patches 2021 Access copy available to the general public Unrestricted Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance. In particular, these localized behaviors need for extremely fine descriptions, and this has an associated impact in the number of degrees of freedom from one side, and the decrease of the time step employed in usual explicit time integrations, whose stability scales with the size of the smallest element involved in the mesh. In the present work we propose a data-driven technique for learning the rich behavior of a local patch and integrate it into a standard coarser description at the structure level. Thus, localized behaviors impact the global structural response without needing an explicit description of that fine scale behaviors. info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 0.995 2021 MECHANICS 126 / 138 = 0.913 2021 Q4 T3 ENGINEERING, MECHANICAL 125 / 137 = 0.912 2021 Q4 T3 0.264 2021 Materials Science (miscellaneous) 2021 Q3 Industrial and Manufacturing Engineering 2021 Q3 1.5 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Champaney V. Daim F. Tourbier Y. Hascoet N. Gonzalez D. Cueto E. Universidad de Zaragoza (orcid)0000-0003-1017-4381 Duval J.L. Chinesta F. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 22 (2021), [17 pp.] Mechanics & industry Mechanics and Industry 2257-7777 2542151 http://zaguan.unizar.es/record/151698/files/texto_completo.pdf Versión publicada 2861261 http://zaguan.unizar.es/record/151698/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:151698 articulos driver 2025-10-17-14:27:16 ARTICLE