Image Correlation-Based Identification of Fracture Parameters for Structural Adhesives

Abstract

We consider the identification problem of a cohesive model using kinematic full-field data obtained via digital image correlation during the fracture test of an adhesive joint. A criterion is presented for selecting measurements that exhibit optimal features for identification purposes. The proposed selection scheme is constructed using the sensitivity information and its performances are evaluated at varying noise-to-signal ratio.