GPUCorrel: A GPU accelerated Digital Image Correlation software written in Python
| Autor: | Pauline Lecomte-Grosbras, Jean-François Witz, Victor Couty, Mathias Brieu, E. Deletombe, Julien Berthe |
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| Přispěvatelé: | Laboratoire de Mécanique, Multiphysique, Multiéchelle - UMR 9013 (LaMcube), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), DMAS, ONERA [Lille], ONERA, California State University [Los Angeles] (CAL STATE LA) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Digital image correlation
Computer science Computation GPU CUDA 02 engineering and technology Mechanics 01 natural sciences Field (computer science) Strain 010309 optics QA76.75-76.765 DIC [SPI]Engineering Sciences [physics] Software 0203 mechanical engineering Computer graphics (images) Digital Image Correlation 0103 physical sciences [CHIM]Chemical Sciences Computer software Projection (set theory) computer.programming_language [PHYS]Physics [physics] Experimental mechanics Measurement business.industry Python (programming language) Base (topology) Computer Science Applications 020303 mechanical engineering & transports business computer Python |
| Zdroj: | SoftwareX SoftwareX, Elsevier, 2021, 16, pp.100815. ⟨10.1016/j.softx.2021.100815⟩ SoftwareX, 2021, 16, pp.100815. ⟨10.1016/j.softx.2021.100815⟩ SoftwareX, Vol 16, Iss, Pp 100815-(2021) |
| ISSN: | 2352-7110 |
| DOI: | 10.1016/j.softx.2021.100815⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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