Title: Path-Integrated X-Ray Images for Multi-Surface Digital Image Correlation (PI-DIC)

Abstract

X-ray imaging offers unique possibilities for Digital Image Correlation (DIC), opening the door for full-field deformation measurements of a test article in complex environments where optical DIC suffers severe biases or is impossible. While X-ray DIC has been performed in the past with standard DIC codes designed for optical images, the path-integrated nature of X-ray images places constraints on the experimental setup, predominantly that only a single surface of interest moves/deforms. These requirements are difficult to realize for many practical situations and limit the amount of information that can be garnered in a single test. Other X-ray based diagnostics such as Digital Volume Correlation (DVC) and Projection DVC (P-DVC) overcome these obstacles, but DVC is limited to quasi-static tests, and both DVC and P-DVC necessitate high-resolution computed tomography (CT) scan(s) and often require a potentially invasive pattern throughout the volume of the specimen. Here this work presents a novel approach to measure time-resolved displacements and strains on multiple surfaces from a single series of 2D, path-integrated (PI) X-ray images, called PI-DIC. The principle of optical flow or conservation of intensity—the foundation of DIC—was reframed for path-integrated images, for an exemplar setup comprised of two plates moving and deforming independently. Syntheticmore » images were generated for rigid translations, rigid rotations, and uniform stretches, where each plate underwent a unique motion/deformation. Experimental specimens were fabricated (either an aluminum plate with tantalum features or a plastic plate with steel features) and the two specimens were independently translated. PI-DIC was successfully demonstrated with the synthetic images and validated with the experimental images. Prescribed displacements were recovered for each plate from the single set of path-integrated, deformed images. Errors were approximately 0.02 px for the synthetic images with 1.5% image noise, and 0.05 px for the experimental images. These results provide the foundation for PI-DIC to measure motion and deformation of multiple, independent surfaces with subpixel accuracy from a single series of path-integrated X-ray images.« less

Authors:

Jones, Elizabeth M. C.  ^[1];

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Fayad, Samuel Saiid ^[1]; Quintana, Enrico C. ^[1]; Halls, Benjamin Robert ^[1]; Winters, Caroline ^[1]

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1. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Publication Date:

Fri Mar 31 00:00:00 EDT 2023

Research Org.:

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:

USDOE National Nuclear Security Administration (NNSA); USDOE Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:

2311663

Report Number(s):

SAND-2023-05044J
Journal ID: ISSN 0014-4851

Grant/Contract Number:  

NA0003525

Resource Type:

Accepted Manuscript

Journal Name:

Experimental Mechanics

Additional Journal Information:

Journal Volume: 63; Journal Issue: 4; Journal ID: ISSN 0014-4851

Publisher:

Springer

Country of Publication:

United States

Language:

English

Subject:

47 OTHER INSTRUMENTATION; digital image correlation; DIC; x-rays; path-integrated images; optical flow; conservation of intensity