78910 20200108100344.0 doi 10.1063/1.5034932 sideral 106475 ART-2018-106475 eng Ibáñez, R. Data-driven in computational plasticity 2018 Access copy available to the general public Unrestricted Computational mechanics is taking an enormous importance in industry nowadays. On one hand, numerical simulations can be seen as a tool that allows the industry to perform fewer experiments, reducing costs. On the other hand, the physical processes that are intended to be simulated are becoming more complex, requiring new constitutive relationships to capture such behaviors. Therefore, when a new material is intended to be classified, an open question still remains: which constitutive equation should be calibrated. In the present work, the use of model order reduction techniques are exploited to identify the plastic behavior of a material, opening an alternative route with respect to traditional calibration methods. Indeed, the main objective is to provide a plastic yield function such that the mismatch between experiments and simulations is minimized. Therefore, once the experimental results just like the parameterization of the plastic yield function are provided, finding the optimal plastic yield function can be seen either as a traditional optimization or interpolation problem. It is important to highlight that the dimensionality of the problem is equal to the number of dimensions related to the parameterization of the yield function. Thus, the use of sparse interpolation techniques seems almost compulsory. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.182 2018 Physics and Astronomy (miscellaneous) 2018 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Abisset-Chavanne, E. (orcid)0000-0003-1017-4381 Cueto, E. Universidad de Zaragoza Chinesta, F. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 1960 (2018), 090006 [6 pp.] AIP conf. proc. AIP Conference Proceedings 0094-243X 305800 http://zaguan.unizar.es/record/78910/files/texto_completo.pdf Versión publicada 51477 http://zaguan.unizar.es/record/78910/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:78910 articulos driver 2020-01-08-09:29:09 ARTICLE