Some recent advances in digital volume correlation

•This paper summarizes our recent advances made on DVC.•Accuracy and efficiency-enhanced subvoxel registration algorithm and self-adaptive selection DVC algorithm are described.•Simple and effective strategies for DVC analyses of high-resolution, large deformed volumetric images are reported.•Analys...

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Bibliographic Details
Published in:Optics and lasers in engineering Vol. 135; p. 106189
Main Authors: Pan, Bing, Wang, Bo
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.12.2020
Subjects:
Digital volume correlation
Internal deformation measurement
Subvoxel registration
Digital volume correlation
Internal deformation measurement
Subvoxel registration
ISSN:0143-8166, 1873-0302
Online Access:Get full text
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Summary:•This paper summarizes our recent advances made on DVC.•Accuracy and efficiency-enhanced subvoxel registration algorithm and self-adaptive selection DVC algorithm are described.•Simple and effective strategies for DVC analyses of high-resolution, large deformed volumetric images are reported.•Analysis and correction of thermal errors in DVC measurements are discussed. Over the past years, we have been developing new algorithms and approaches for robust, efficient and accurate internal displacement and strain field measurements using digital volume correlation (DVC). This paper will summarize our recent work on the following four major aspects: (a) advanced three-dimensional inverse-compositional Gauss-Newton (3D IC-GN) algorithm for subvoxel registration with enhanced accuracy and efficiency; (b) self-adaptive DVC algorithm with optimal calculation parameters; (c) practical and effective strategies for DVC analyses of high-resolution volumetric images and deformed volumetric images encoded with large deformation; (d) quantitative analysis and correction of thermal errors in DVC measurements due to self-heating effect of X-ray CT scanners. We hope that this paper can guide the readers to know the state-of-art DVC method.
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2020.106189