Mode I cohesive zone model parameters identification and comparison of measurement techniques based on uncertainty estimation

INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

卷:191

Article

Jaillon, Agathe¹  Jumel, Julien²  Lachaud, Frederic¹  Paroissien, Eric¹ 

[1] Univ Toulouse, Inst Clement Ader, CNRS INSA ISAE Mines Albi UPS, UMR 53123, Rue Caroline Aigle, F-31400 Toulouse, France

[2] Univ Bordeaux, I2M, CNRS, Arts & Metiers Paris Tech,UMR 5295, F-33400 Talence, France

关键词: DCB;    Cohesive zone model;    Chi-square;    Sensitivity;    Confidence interval;    Comparative study;    DIC;   

DOI  :  10.1016/j.ijsolstr.2019.12.014

来源: Elsevier

【 摘 要 】

Adhesive bondline mechanical behaviour is frequently described with cohesive zone models (CZM). For mode I loading condition these phenomenological laws simply represent the evolution of the peel stress as a function of the two adherends relative displacement normal to the joint. Generally, these laws are identified rather than really measured using experimental data obtained from crack initiation and propagation experiments such as the Double Cantilever Beam Test (DCB). The uncertainty on parameter estimation are generally not indicated, as for a DCB test it is only the critical energy release rate that has the most influence on the results. However, the uncertainties on the other parameters prevent the use of the identified TSL for other mechanical tests where mode I solicitations are predominant. In this article, the purpose is to evaluate the methodologies reliability for the assessment of mode I CZM. To do so, several methods used to evaluate CZM parameters are compared in terms parameter estimation reliability. Synthetic noisy data are considered for a chi(2) function minimisation. Then, sensitivity calculations are performed to determine the estimated parameters standard deviation. By applying this procedure on different type of synthetic measurements (respectively P(Delta), J(delta,theta), backface strain and DIC) the ability of these different techniques to capture the best parameters for a chosen CZM shape can be rigorously evaluated. (C) 2019 Published by Elsevier Ltd.

【 授权许可】

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