Identification of a prior probabilistic mesoscale model with experimental multiscale observations of one specimen under external loads
type: Dataset
description: 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.
issued: 2026-05-09T18:36:06.438564
language: en
modified: 2026-05-09T18:36:06.438568
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: mathmath-prmathematics-mathprobability-mathpr
keyword: mathmath-stmathematics-mathstatistics-mathst
keyword: mesoscale
keyword: micromechanics
keyword: multiscale-identification
keyword: multiscale-modeling
keyword: physmecamemaphysics-physicsmechanics-physicsmechanics-of-materials-physicsclass-ph
keyword: probabilistic-model
keyword: spimecamemaengineering-sciences-physicsmechanics-physicsmed-phmechanics-of-materials-phy
keyword: statthstatistics-statstatistics-theory-statth
landing page: 12th U.S. National Congress on Computational Mechanics, USNCCM XII 2013

Identification of a prior probabilistic mesoscale model with experimental multiscale observations of one specimen under external loads
type: Distribution
format: HTML
issued: 2026-05-09T18:36:06.445962
modified: 2026-05-09T18:36:06.426984
access URL: https://hal.science/hal-00861343

test_moissonnage_selune
type: Agent