Identification of the spatial variability of stress fields in polycrystalline aggregates and application to the local approach to failure

This thesis is a contribution to the construction of the Local Approach to fracture at the microscopic scale using polycrystalline aggregate modeling. It consists in taking into account the spatial variability of the microstructure of the material. To do this, the micromechanical modeling is carried out by finite element analysis of polycrystalline aggregates. The random stress fields (maximum principal et cleavage stress) in the material representing the spatial variability of the microstructure are then modeled by a stationary ergodic Gaussian random field. The properties of the spatial variability of these fields are identified by an identification method, e.g. periodogram method, variogram method, maximum likelihood method. The synthetic realizations of the stress fields are then simulated by a simulation method, e.g. discrete Karhunen-Loève method, circulant embedding method, spectral method, without additional finite element calculations. Finally, a Local Approach to fracture by simulation of the cleavage stress field using the simulated realizations is constructed to estimate the rupture probability of the material.

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Source https://theses.hal.science/tel-00822107
Author Dang, Xuan Hung
Maintainer CCSD
Last Updated May 11, 2026, 03:57 (UTC)
Created May 11, 2026, 03:57 (UTC)
Identifier NNT: 2012CLF22278
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut Pascal (IP) ; Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS)
creator Dang, Xuan Hung
date 2012-10-11T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
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