Convolution finite element-based digital image correlation for displacement and strain measurements

dc.contributor.authorLu, Ye
dc.contributor.authorZhu, Weidong
dc.date.accessioned2023-11-28T18:30:41Z
dc.date.available2023-11-28T18:30:41Z
dc.date.issued2023-11-27
dc.description.abstractThis work presents a novel global digital image correlation (DIC) method, based on a newly developed convolution finite element (C-FE) approximation. The convolution approximation can rely on the mesh of linear finite elements and enables arbitrarily high order approximations without adding more degrees of freedom. Therefore, the C-FE based DIC can be more accurate than the usual FE based DIC by providing highly smooth and accurate displacement and strain results with the same element size. The detailed formulation and implementation of the method have been discussed in this work. The controlling parameters in the method include the polynomial order, patch size, and dilation. A general choice of the parameters and their potential adaptivity have been discussed. The proposed DIC method has been tested by several representative examples, including the DIC challenge 2.0 benchmark problems, with comparison to the usual FE based DIC. C-FE outperformed FE in all the DIC results for the tested examples. This work demonstrates the potential of C-FE and opens a new avenue to enable highly smooth, accurate, and robust DIC analysis for full-field displacement and strain measurements.
dc.description.urihttps://www.sciencedirect.com/science/article/abs/pii/S0045782523007211
dc.format.extent37 pages
dc.genrejournal articles
dc.genrepreprints
dc.identifier.citationLu, Ye, and Weidong Zhu. ‘Convolution Finite Element Based Digital Image Correlation for Displacement and Strain Measurements’. Computer Methods in Applied Mechanics and Engineering 419 (1 February 2024): 116597. https://doi.org/10.1016/j.cma.2023.116597.
dc.identifier.urihttps://doi.org/10.1016/j.cma.2023.116597
dc.identifier.urihttp://hdl.handle.net/11603/30898
dc.language.isoen
dc.publisherElsevier
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Mechanical Engineering Department Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.titleConvolution finite element-based digital image correlation for displacement and strain measurements
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-3698-5596
dcterms.creatorhttps://orcid.org/0000-0003-2707-2533

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