Parameter identification in a damage model for rock mechanics

Author(s):  
L. Resende ◽  
J. B. Martin
2017 ◽  
Vol 107 ◽  
pp. 00042 ◽  
Author(s):  
Andrey Benin ◽  
Sergey Semenov ◽  
Artem Semenov ◽  
Galina Bogdanova

2014 ◽  
Vol 2014.27 (0) ◽  
pp. 459-460
Author(s):  
Kai Oide ◽  
Masami Sato ◽  
Junji Yoshida ◽  
Toshiyuki Sugiyama

2015 ◽  
Vol 784 ◽  
pp. 300-307 ◽  
Author(s):  
Ulrich Kroll ◽  
Anton Matzenmiller

A damage model for thin adhesively bonded joints is presented, which predicts the time to creep-fatigue failure of the joint subjected to combined static and cyclic sustained loadings with constant or variable amplitudes. The influences of particular model parameters on the predicted lifetime are elaborated suggesting the proposed stepwise parameter identification strategy by means of creep and Wöhler fatigue tests until rupture. The parameters are identified and computationally optimized. As a conclusion, the model prediction is verified and validated.


2020 ◽  
Vol 231 (12) ◽  
pp. 5159-5192
Author(s):  
L. Sprave ◽  
A. Menzel

Abstract A gradient-enhanced ductile damage model at finite strains is presented, and its parameters are identified so as to match the behaviour of DP800. Within the micromorphic framework, a multi-surface model coupling isotropic Lemaitre-type damage to von Mises plasticity with nonlinear isotropic hardening is developed. In analogy to the effective stress entering the yield criterion, an effective damage driving force—increasing with increasing plastic strains—entering the damage dissipation potential is proposed. After an outline of the basic model properties, the setup of the (micro)tensile experiment is discussed and the importance of including unloading for a parameter identification with a material model including damage is emphasised. Optimal parameters, based on an objective function including measured forces and the displacement field obtained from digital image correlation, are identified. The response of the proposed model is compared to a tensile experiment of a specimen with a different geometry as a first approach to validate the identified parameters.


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