On nonparametric stochastic modeling of elasticity tensors based on material symmetry constraints

We consider the construction of a probabilistic model which allows realizations of random elasticity tensors to be simulated, under the constraint that the mean distance, defined with respect to the Riemannian metric, to a given class of material symmetry is specified. Following the eigensystem characterization of the material symmetries, the proposed approach relies on the probabilistic model derivedfrom the nonparametric probabilistic approach, allowing the variance of selected eigenvalues of the elasticity tensor to be partially prescribed. A new methodology and parameterization of the model are then defined. The proposed approach is exemplified considering a constraint defined with respect to the mean distance to transverse isotropy, corresponding to the modeling of unidirectional reinforced composites for instance.

Data and Resources

Additional Info

Field Value
Source Engineering Mechanics Institute 2010 (EMI 2010)
Author Guilleminot, Johann, Soize, Christian
Maintainer CCSD
Last Updated May 17, 2026, 18:43 (UTC)
Created May 17, 2026, 18:43 (UTC)
Identifier hal-00699809
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 Los Angeles, United States
creator Guilleminot, Johann
date 2010-08-08T00:00:00
harvest_object_id f68f1a07-7aaa-406e-9d7b-f2fc2f63ee4a
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