OpenLSA: An open-source toolbox for computing full-field displacements from images of periodic patterns - Archive ouverte HAL
Article Dans Une Revue SoftwareX Année : 2024

OpenLSA: An open-source toolbox for computing full-field displacements from images of periodic patterns

Benoît Blaysat
Thomas Jailin
Adrien Vinel
Michel Grédiac

Résumé

In the experimental mechanics community, full-field measurement techniques have gained popularity over the last few decades, revolutionizing traditional testing procedures for materials and structures. While Digital Image Correlation (DIC) remains the most widely used method, its reliance on randomly patterned surfaces limits its metrological performance, and the iterative calculations required for retrieving displacement and strain fields can be computationally expensive. In recent years, there has been a proposal to use optimal checkerboard patterns instead. Images of such periodic patterns can be processed using a method called Localized Spectrum Analysis (LSA). LSA proposes processing these images in the frequency domain using spectral techniques, which reduces computational costs. This paper presents an open-source LSA software written in Python and illustrates two application cases in experimental mechanics.
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Dates et versions

hal-04782788 , version 1 (14-11-2024)

Identifiants

Citer

Benoît Blaysat, Frédéric Sur, Thomas Jailin, Adrien Vinel, Michel Grédiac. OpenLSA: An open-source toolbox for computing full-field displacements from images of periodic patterns. SoftwareX, 2024, 27, pp.101826. ⟨10.1016/j.softx.2024.101826⟩. ⟨hal-04782788⟩
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