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

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. (C) 2021 Published by Elsevier B.V.

Automated summary

This article introduces an open-source Integrated Digital Image Correlation (I-DIC) software, which is designed to run at high frequencies using CUDA-enabled GPUs. The software uses a global approach for field computation and can be applied in various applications, with one demonstration being a bi-axial tensile test on a cruciform specimen in experimental mechanics.