Crack Identification by Digital Image Correlation Method Using Crack Shape as Prior Information

Abstract A new crack identification method that estimates the cracks in invisible locations based on surface deformation measured by digital image correlation (DIC) is developed. An inverse problem setup to estimate such from deformations. The has an ill-condition because of noise contained Our proposed regularization uses prior information and Expectation a Posteriori (EAP) estimation. Prior includes candidate shapes deformations due cracks. are created determining crack's starting point propagating it force at its perimeter (ligament). distribution shapes. likelihood DIC method. posterior defined distributions. In this study, estimated result expected value distribution. validation test was performed, shows superior conventional L1-norm