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Identification of high-dimension polynomial chaos expansions of tensor-valued random fields from limited observed responses of boundary value problems
Soize C.
(Keynote Lecture) ECCOMAS Conference on Computational Mechanics, Solids, Structures and Coupled Problems in Engineering (ECCM-2010), Paris : France (2010) - http://hal-upec-upem.archives-ouvertes.fr/hal-00699799
C. Soize (, http://msme.univ-mlv.fr/staff/meca/soize-christian/)1
1 :  MSME - Laboratoire de Modélisation et Simulation Multi Echelle
http://msme.univ-mlv.fr/
Université Paris-Est Marne-la-Vallée (UPEMLV) – Université Paris-Est Créteil Val-de-Marne (UPEC) – CNRS : UMR8208
Université Paris-Est, 5 Bd Descartes, 77454 Marne-la-Vallée, Cedex 2
France
Mechanics
Mathématiques/Statistiques
Statistiques/Théorie
Mathématiques/Probabilités
Sciences de l'ingénieur/Mécanique/Mécanique des matériaux
Physique/Mécanique/Mécanique des matériaux
Identification of high-dimension polynomial chaos expansions of tensor-valued random fields from limited observed responses of boundary value problems
This paper is devoted to the identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data made up of an observation vector which is the response of a stochastic boundary value problem depending on the tensor-valued random field which has to be identified. So an inverse stochastic problem has to be solved to carry out the identification of the random field.
Anglais


internationale

(Keynote Lecture) ECCOMAS Conference on Computational Mechanics, Solids, Structures and Coupled Problems in Engineering (ECCM-2010)
16/05/2010
21/05/2010
Paris
France
Sans acte

uncertainty quantification – statistical inverse problem – polynomial Chaos expansion – random field – high stochastic dimension
Keynote Lecture