84214 20200513005823.0 doi 10.1007/s12289-018-1448-x sideral 108576 ART-2018-108576 eng Ibáñez, R. Hybrid constitutive modeling: data-driven learning of corrections to plasticity models 2018 Access copy available to the general public Unrestricted In recent times a growing interest has arose on the development of data-driven techniques to avoid the employ of phenomenological constitutive models. While it is true that, in general, data do not fit perfectly to existing models, and present deviations from the most popular ones, we believe that this does not justify (or, at least, not always) to abandon completely all the acquired knowledge on the constitutive characterization of materials. Instead, what we propose here is, by means of machine learning techniques, to develop correction to those popular models so as to minimize the errors in constitutive modeling. info:eu-repo/grantAgreement/ES/DGA/T24-17R info:eu-repo/grantAgreement/EC/H2020/675919/EU/Empowered decision-making in simulation-based engineering: Advanced Model Reduction for real-time, inverse and optimization in industrial problems/AdMoRe This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 675919-AdMoRe info:eu-repo/grantAgreement/ES/MINECO/DPI2015-72365-EXP info:eu-repo/grantAgreement/ES/MINECO/DPI2017-85139-C2-1-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.75 2018 METALLURGY & METALLURGICAL ENGINEERING 27 / 76 = 0.355 2018 Q2 T2 ENGINEERING, MANUFACTURING 36 / 49 = 0.735 2018 Q3 T3 MATERIALS SCIENCE, MULTIDISCIPLINARY 190 / 293 = 0.648 2018 Q3 T2 0.638 2018 Materials Science (miscellaneous) 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Abisset-Chavanne, E. (orcid)0000-0003-3003-5856 González, D. Universidad de Zaragoza Duval, J.L. (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. 12 (2018), 717 – 725 Int.J.Mater.Form. International journal of material forming 1960-6206 2218282 http://zaguan.unizar.es/record/84214/files/texto_completo.pdf Postprint 11606 http://zaguan.unizar.es/record/84214/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:84214 articulos driver 2020-05-13-00:50:42 ARTICLE