000078910 001__ 78910 000078910 005__ 20200108100344.0 000078910 0247_ $$2doi$$a10.1063/1.5034932 000078910 0248_ $$2sideral$$a106475 000078910 037__ $$aART-2018-106475 000078910 041__ $$aeng 000078910 100__ $$aIbáñez, R. 000078910 245__ $$aData-driven in computational plasticity 000078910 260__ $$c2018 000078910 5060_ $$aAccess copy available to the general public$$fUnrestricted 000078910 5203_ $$aComputational 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. 000078910 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000078910 592__ $$a0.182$$b2018 000078910 593__ $$aPhysics and Astronomy (miscellaneous)$$c2018 000078910 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000078910 700__ $$aAbisset-Chavanne, E. 000078910 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, E.$$uUniversidad de Zaragoza 000078910 700__ $$aChinesta, F. 000078910 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est. 000078910 773__ $$g1960 (2018), 090006 [6 pp.]$$pAIP conf. proc.$$tAIP Conference Proceedings$$x0094-243X 000078910 8564_ $$s305800$$uhttps://zaguan.unizar.es/record/78910/files/texto_completo.pdf$$yVersión publicada 000078910 8564_ $$s51477$$uhttps://zaguan.unizar.es/record/78910/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000078910 909CO $$ooai:zaguan.unizar.es:78910$$particulos$$pdriver 000078910 951__ $$a2020-01-08-09:29:09 000078910 980__ $$aARTICLE