Investigation for Digital Speckle Correlation Method Based on Improved Genetic Algorithm

A digital speckle correlation method (DSCM) to measure surface displacements and strains have been developed. The correlate search algorithm plays an important role in DSCM. The traditional correlate search algorithms depend on initial value selection seriously. For this defect, this paper presents DSCM which uses genetic algorithm (GA) to measure surface deformation. In order to overcome the premature convergence of tradition genetic algorithm, this paper utilizes multi-parent crossover and adaptive mutation probability to perform genetic operation. The simulation demonstrates that improved GA increases the speed and the precision of search. With the application of DSCM in measuring deformation of composite laminates, the test reveals an agreement with the anticipated result.