Fracture Properties Identification using Full-field Measurements: Some Important Concepts and Validation 19 Fig. 7 Error on K (left) and J-integrals (right) for different regularizations (strain windows) Fig. 8 Error on K (left) and J (right) obtained from noisy images Conclusion and Future Work This paper presented a preliminary study on the use of synthetically deformed images to investigate the errors generated by the use of Digital Image Correlation in extracting fracture parameters from fracture tests. The first results are consistent with expectations: • the formulations in the MatchID software have been verified with the finite element model; • the Williams series fit to obtain K is much less sensitive to noise in the data as it only uses displacements. However, K only provides an estimate of the fracture toughness; • the surface J-integral (or Equivalent Domain Integral) is much more robust to strain outliers and noise; Synthetic image deformation is an ideal tool to investigate systematic and random errors in fracture mechanics parameters obtained from DIC. In the future, effects of imperfect boundary conditions, presence of plasticity at the notch root, crack propagation and other fracture test configurations will be investigated. More realistic DIC errors will also be considered [9]. References 1. Sutton, M.A., J.J. Orteu, and H.W. Schreier, Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications. 2009, New-York: Springer. 1-321. 2. Becker, T.H., Extracting fracture properties from digital image and volume correlation displacement data: A review. Strain, 2024. 60(4): p. e12469
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