2023 Volume 8 Pages 53-61
This paper deals with a method for generating simulation images from a random pattern image and finite element analysis results for the development and performance evaluation of digital image correlation techniques (DIC). The input random pattern image can be either an actual captured image or an artificially generated image. An image before deformation is generated directly from the input random pattern image and the finite element model. The gray value at an integer pixel position in the image after deformation is determined by finding the position of that point in the image before deformation and estimating the gray value using gray level interpolation. This method can be used to generate 3D images for digital volume correlation (DVC) as well as images for digital image correlation. The effectiveness of the proposed method is demonstrated by showing examples of global DIC and global DVC results. The simulation images generated by the proposed method can be used to develop and improve DIC techniques and to study various parameters in DIC, such as subset dimensions, shape functions, element types, and random patterns. Therefore, it is expected to efficiently advance research on DIC/DVC methods.
