000063077 001__ 63077
000063077 005__ 20200221144231.0
000063077 0247_ $$2doi$$a10.1007/s11831-016-9172-5
000063077 0248_ $$2sideral$$a100316
000063077 037__ $$aART-2016-100316
000063077 041__ $$aeng
000063077 100__ $$aLopez, E.
000063077 245__ $$aA manifold learning approach for integrated computational materials engineering
000063077 260__ $$c2016
000063077 5060_ $$aAccess copy available to the general public$$fUnrestricted
000063077 5203_ $$aImage-based simulation is becoming an appealing technique to homogenize properties of real microstructures of heterogeneous materials. However fast computation techniques are needed to take decisions in a limited time-scale. Techniques based on standard computational homogenization are seriously compromised by the real-time constraint. The combination of model reduction techniques and high performance computing contribute to alleviate such a constraint but the amount of computation remains excessive in many cases. In this paper we consider an alternative route that makes use of techniques traditionally considered for machine learning purposes in order to extract the manifold in which data and fields can be interpolated accurately and in real-time and with minimum amount of online computation. Locallly Linear Embedding is considered in this work for the real-time thermal homogenization of heterogeneous microstructures.
000063077 536__ $$9info:eu-repo/grantAgreement/ES/CICYT/DPI2014-51844-C2-1-R
000063077 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000063077 590__ $$a5.061$$b2016
000063077 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b5 / 105 = 0.048$$c2016$$dQ1$$eT1
000063077 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b1 / 100 = 0.01$$c2016$$dQ1$$eT1
000063077 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b2 / 85 = 0.024$$c2016$$dQ1$$eT1
000063077 592__ $$a1.191$$b2016
000063077 593__ $$aComputer Science Applications$$c2016$$dQ1
000063077 593__ $$aApplied Mathematics$$c2016$$dQ1
000063077 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000063077 700__ $$0(orcid)0000-0003-3003-5856$$aGonzalez, D.$$uUniversidad de Zaragoza
000063077 700__ $$aAguado, J. V.
000063077 700__ $$aAbisset-Chavanne, E.
000063077 700__ $$aCueto, E.
000063077 700__ $$aBinetruy, C.
000063077 700__ $$aChinesta, F.
000063077 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000063077 773__ $$g(2016), [16 pp.]$$pArch. comput. methods eng.$$tARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING$$x1134-3060
000063077 8564_ $$s1002869$$uhttps://zaguan.unizar.es/record/63077/files/texto_completo.pdf$$yPostprint
000063077 8564_ $$s52943$$uhttps://zaguan.unizar.es/record/63077/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000063077 909CO $$ooai:zaguan.unizar.es:63077$$particulos$$pdriver
000063077 951__ $$a2020-02-21-13:19:48
000063077 980__ $$aARTICLE