Simulation of stable tearing crack growth events using the cohesive zone model approach

2013 ◽  
Vol 99 ◽  
pp. 223-238 ◽  
Author(s):  
Xin Chen ◽  
Xiaomin Deng ◽  
Michael A. Sutton
Keyword(s):  
Crack Growth ◽  
Cohesive Zone ◽  
Cohesive Zone Model ◽  
Zone Model ◽  
Stable Tearing ◽  
Model Approach

Simulation of mixed-mode I/III stable tearing crack growth events using the cohesive zone model approach

2014 ◽  
Vol 189 (1) ◽  
pp. 59-75 ◽  
Author(s):  
Xin Chen ◽  
Xiaomin Deng ◽  
Michael A. Sutton ◽  
Pablo Zavattieri
Keyword(s):  
Crack Growth ◽  
Cohesive Zone ◽  
Mixed Mode ◽  
Cohesive Zone Model ◽  
Mode I ◽  
Zone Model ◽  
Stable Tearing ◽  
Model Approach

Mesoscale modelling of delamination using the cohesive zone model approach

2021 ◽  
pp. 555-577
Author(s):  
Laura Carreras ◽  
Gerard Guillamet ◽  
Adrià Quintanas-Corominas ◽  
Jordi Renart ◽  
Albert Turon
Keyword(s):  
Cohesive Zone ◽  
Cohesive Zone Model ◽  
Zone Model ◽  
Mesoscale Modelling ◽  
Model Approach

Irreversible cyclic cohesive zone model for prediction of mode I fatigue crack growth in CFRP-strengthened steel plates

2020 ◽  
Vol 110 ◽  
pp. 102804
Author(s):  
M. Mohajer ◽  
M. Bocciarelli ◽  
P. Colombi ◽  
A. Hosseini ◽  
A. Nussbaumer ◽  
...  
Keyword(s):  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Cohesive Zone ◽  
Cohesive Zone Model ◽  
Steel Plates ◽  
Mode I ◽  
Zone Model

Existence and Convergence Questions in Computational Modelling of Crack Growth in Brittle and Quasi-Brittle Materials

2016 ◽  
Vol 258 ◽  
pp. 157-160 ◽  
Author(s):  
Jiří Vala
Keyword(s):  
Crack Growth ◽  
Cohesive Zone ◽  
Cohesive Zone Model ◽  
Computational Modelling ◽  
Brittle Materials ◽  
Zone Model ◽  
Static Tests ◽  
Materials Used ◽  
Proper Analysis

Computational modelling of the crack growth in brittle and quasi-brittle materials used in mechanical, civil, etc. engineering applies the cohesive zone model with various traction separation laws; determination of micro-mechanical parameters comes then from static tests, microscopic observation and numerical calibration. Although most authors refer to ill-possedness and need of artificial regularization in inverse problems (identification of material parameters), some difficulties originate even in nonlinear formulations of direct and sensitivity problems. This paper demonstrates the possibility of proper analysis of the existence of a weak solution and of the convergence of a corresponding numerical algorithm for such model problem, avoiding non-physical assumptions.

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