2026-09-21T11:11:57Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/26198 2023-07-10 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Heath, Michael T. Lambros, John Heath, Michael T. Lambros, John Sutton, Michael Gropp, William D. Olson, Luke N. Gates, Mark R. 2011-08-25T22:18:23Z 2011-08-25T22:18:23Z 2011-08-25T22:18:23Z 2011-08 We develop speed, efficiency, and accuracy improvements to a three-dimensional (3D) digital volume correlation (DVC) algorithm, which measures displacement and strain fields throughout the interior of a material. Our goal is to perform DVC with resolution comparable to that achieved in 2D digital image correlation, in time that is commensurate with the image acquisition time. This represents a significant improvement over the current state-of-the-art available in the literature. Using an X-ray micro-CT scanner, we can resolve features at the 5 micron scale, generating 3D images with up to 36 billion voxels. We utilize linear and quadratic shape functions with tricubic spline interpolation to achieve high accuracy. We improve the algorithm's speed and robustness through an improved coarse search, efficient implementation of spline interpolation, and using smoothing splines to address noisy image data. For DVC, the volume of data, number of correlation points, and work to solve each correlation point all grow cubically. We therefore employ parallel computing to handle this tremendous increase in computational and memory requirements. We study how various parameters affect the accuracy of the solution, and how to refine the solution to achieve improved accuracy at reduced computational cost. We demonstrate the effectiveness of our improved DVC implementation using simulated deformations of 3D micro-CT scans of polymer and ceramic foam samples. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-07-08T16:05:44Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Gates_Mark.pdf: 22023407 bytes, checksum: 1307818effd63eabf1024d1dc97164b1 (MD5) Made available in DSpace on 2011-08-25T22:18:23Z (GMT). No. of bitstreams: 2 Gates_Mark.pdf: 22023356 bytes, checksum: a31155bc938b168631a4ef090069f155 (MD5) license.txt: 4060 bytes, checksum: 6d8c9fe1e5647c358eca732a5df4e5f8 (MD5) http://hdl.handle.net/2142/26198 en Copyright 2011 by Mark Ralph Gates digital volume correlation X-ray tomography strain measurement parallel computing smoothing splines High performance digital volume correlation Computer Science 1434 Computer Science 0112 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Computer Science -UIUC 10KS0112PHD