Digital image correlation (DIC) is a non-contact means of measuring motion and full-field displacements using only digital images of the object studied. DIC also involves computing strains as a secondary step once the displacement field is acquired. The Digital Image Correlation Engine, or DICe, currently is being used to calibrate material models, quality test NW components using high-speed video, and investigate extreme loading on NW components.
DICe is written for extreme scales in terms of processing high-speed video, streaming results in real time, and highly resolved computational meshes.
The subsets used for analysis in DICe can be of arbitrary shape (conforming to the object of interest). DICe also has a simplex-based optimization scheme that does not require painting patterns on the object. Presently, DICe is developing a well-posed DIC formulation that addresses numerical stability issues present in most DIC codes.
DICe is open source; builds and runs on Mac, Linux, and Windows; and can be compiled from source or installed via a package installer.
Name: Dan Turner
- RB Lehoucq, PL Reu, and DZ Turner, A Novel Class of Strain Measures for Digital Image Correlation, Strain 51(4) 265-275, 2015
- DZ Turner, B Van Bloemen Waanders, and ML Parks, Inverse Problems in Heterogeneous and Fractured Media Using Peridynamics, Journal of Mechanics of Materials and Structures, Accepted, 2015
- PL Reu, E Johnson, D VanGoethem and S Walkington, Stereo Tracking for Shock Experiments – Processing and Uncertainty Quantification, SAND Report 2015.