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Incremental digital volume correlation method with nearest subvolume offset: An accurate and simple approach for large deformation measurement.

Authors :
Wang, Bo
Pan, Bing
Source :
Advances in Engineering Software (1992). Feb2018, Vol. 116, p80-88. 9p.
Publication Year :
2018

Abstract

Digital volume correlation (DVC) has been widely accepted as an effective experimental technique for quantifying full-field internal 3D deformation of solid materials and structures under external loading. However, conventional DVC using a fixed reference volume image generally fails when serious decorrelation occurs in deformed volume images due to large deformation or other reasons. In this work, an accurate and simple incremental DVC method with nearest subvolume offset is proposed for large deformation measurement. Specifically, the reference subvolumes in the updated reference volume images are translated to nearest integer-voxel positions, rather than being interpolated at subvoxel locations. The translated reference subvolumes, within which all correlation points locate at integer-voxel positions, are then tracked in the rest deformed volume images to retrieve incremental displacement fields. The obtained incremental displacement fields are then accumulated to previously obtained displacement fields to determine the overall displacements. By using the simple nearest subvolume offset approach, subvoxel intensity interpolation for the updated reference subvolumes is entirely avoided, thus not only eliminating the bias error associated with imperfect subvoxel intensity interpolation, but also increasing the computational efficiency of incremental DVC calculation by approximately 2.5 times. The accuracy, efficiency and practicality of the presented incremental DVC are demonstrated by analyzing two sets of volume images with large deformation generated in numerically simulated and real-world experiments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09659978
Volume :
116
Database :
Academic Search Index
Journal :
Advances in Engineering Software (1992)
Publication Type :
Academic Journal
Accession number :
126945962
Full Text :
https://doi.org/10.1016/j.advengsoft.2017.12.004