GPUCorrel: A GPU accelerated Digital Image Correlation software written in Python

Abstract

This article presents an open-source Integrated Digital Image Correlation (I-DIC) software written in Python using CUDA-enabled GPUs designed to run at high (1–100 Hz) frequency. The field computation is performed using a global approach and the result is a projection of the real field in a user-defined base of fields. This software can be used in many applications and one use in experimental mechanics is demonstrated by driving a bi-axial tensile test on a cruciform specimen.

Keywords

• DIC
• Digital Image Correlation
• GPU
• Mechanics
• CUDA
• Python