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DIC Challenge: Developing Images and Guidelines for Evaluating Accuracy and Resolution of 2D Analyses

Journal Article · · Experimental Mechanics
 [1];  [2];  [1];  [3];  [4];  [5];  [1];  [6];  [7];  [8]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Univ. Clermont Auvergne, Clermont-Ferrand (France)
  3. Univ. of Maryland, College Park, MD (United States)
  4. National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)
  5. Katholieke Univ. Leuven, Ghent (Belgium)
  6. Dantec Dynamics GmbH, Ulm (Germany)
  7. Match ID, Ghent (Belgium)
  8. Correlated Solutions Inc., Columbia, SC (United States)
With the rapid spread in use of Digital Image Correlation (DIC) globally, it is important there be some standard methods of verifying and validating DIC codes. To this end, the DIC Challenge board was formed and is maintained under the auspices of the Society for Experimental Mechanics (SEM) and the international DIC society (iDICs). The goal of the DIC Board and the 2D–DIC Challenge is to supply a set of well-vetted sample images and a set of analysis guidelines for standardized reporting of 2D–DIC results from these sample images, as well as for comparing the inherent accuracy of different approaches and for providing users with a means of assessing their proper implementation. This document will outline the goals of the challenge, describe the image sets that are available, and give a comparison between 12 commercial and academic 2D–DIC codes using two of the challenge image sets.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1441458
Report Number(s):
SAND--2018-4048J; 662468
Journal Information:
Experimental Mechanics, Journal Name: Experimental Mechanics Vol. 58; ISSN 0014-4851
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (8)

py2DIC: A New Free and Open Source Software for Displacement and Strain Measurements in the Field of Experimental Mechanics journal September 2019
Spatial DIC Errors due to Pattern-Induced Bias and Grey Level Discretization journal November 2019
Real-Time Optical Measurement of Displacements Using Subpixel Image Registration journal March 2019
Strain measurement errors with digital image correlation due to the Savitzky–Golay filter-based method journal June 2018
Digital image correlation with reduced bias error based on digital signal upsampling theory journal January 2019
Theoretical analysis on performance of digital speckle pattern: uniqueness, accuracy, precision, and spatial resolution journal January 2019
New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements journal April 2019
Crack Initiation and Propagation Fatigue Life of Ultra High-Strength Steel Butt Joints journal October 2019

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