Micromechanical modeling and inverse identification of damage using cohesive approaches

In this study a micromechanical model is proposed for a collection of cohesive zone models embedded between two each elements of a standard cohesive-volumetric finite element method. An equivalent 'matrix-inclusions' composite is proposed as a representation of the cohesive-volumetric discretization. The overall behaviour is obtained using homogenization approaches (Hashin Shtrikman scheme and the P. Ponte Casta˜neda approach). The derived model deals with elastic, brittle and ductile materials. It is available whatever the triaxiality loading rate and the shape of the cohesive law, and leads to direct relationships between the overall material properties and the local cohesive parameters and the mesh density. First, rigorous bounds on the normal and tangential cohesive stiffnesses are obtained leading to a suitable control of the inherent artificial elastic loss induced by intrinsic cohesive models. Second, theoretical criteria on damageable and ductile cohesive parameters are established (cohesive peak stress, critical separation, cohesive failure energy, . . . ). These criteria allow a practical calibration of the cohesive zone parameters as function of the overall material properties and the mesh length. The main interest of such calibration is its promising capacity to lead to a mesh-insensitive overall response in surface damage.

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Source https://theses.hal.science/tel-00870763
Author Blal, Nawfal
Maintainer CCSD
Last Updated May 9, 2026, 11:03 (UTC)
Created May 9, 2026, 11:03 (UTC)
Identifier NNT: 2013MON20079
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Modélisation Mathématique en Mécanique (M3) ; Laboratoire de Mécanique et Génie Civil (LMGC) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
creator Blal, Nawfal
date 2013-09-12T00:00:00
harvest_object_id 34eb774a-bd08-43c4-9e91-2b5f98c1abe4
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-12T00:00:00
set_spec type:THESE