Identification of a prior probabilistic mesoscale model with experimental multiscale observations of one specimen under external loads

We consider a microstructure of a material for which, at mesoscale, the apparent elasticy tensor field is modeled by a random tensor field and, at macroscale, the effective elasticity tensor is modeled by a random tensor constructed by using any available homogenization method. The objective of this work is to identify the parameters of a prior probabilistic model of the random apparent elasticity tensor field at mesoscale using simultaneously macroscale and mesoscale field measurements carried out on one specimen.

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Source 12th U.S. National Congress on Computational Mechanics, USNCCM XII 2013
Author Desceliers, Christophe, Nguyen, M.-T., Soize, Christian
Maintainer CCSD
Last Updated May 9, 2026, 18:36 (UTC)
Created May 9, 2026, 18:36 (UTC)
Identifier hal-00861343
Language en
contributor Laboratoire de Modélisation et Simulation Multi Echelle (MSME) ; Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
coverage Raleigh, North Carolina, United States
creator Desceliers, Christophe
date 2013-07-22T00:00:00
harvest_object_id 34d4d2d1-519d-4c6a-abed-5f3d62054b44
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-12-27T00:00:00
set_spec type:COMM