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An algorithm for Structural Health Monitoring by Digital Image Correlation: Proof of concept and case study

Abstract : In the field of structural health monitoring, the use of Digital Image Correlation (DIC) on relevant surfaces offers remarkable advantages. Such a method is presented herein. The statistically stationary nature of usual loads makes it possible to determine, by training with DIC, a reduced kinematic basis (composed of "modes") and a statistical amplitude distribution for each mode. Further, a specific DIC technique is proposed to deal with such particular kinematics by introducing an extractor per mode that operates on images after a filtering step. This per-mode DIC measurement is reduced to a simple scalar product between the image and the corresponding extractor, which allows for very fast and noniterative processing. As an illustration, this methodology is deployed on a test case of fatigue crack propagation.
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https://hal.archives-ouvertes.fr/hal-03490633
Contributor : François Hild Connect in order to contact the contributor
Submitted on : Friday, December 17, 2021 - 6:46:42 PM
Last modification on : Friday, January 28, 2022 - 3:26:46 AM
Long-term archiving on: : Friday, March 18, 2022 - 7:51:57 PM

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Jordan Curt, Matteo Capaldo, François Hild, Stéphane Roux. An algorithm for Structural Health Monitoring by Digital Image Correlation: Proof of concept and case study. Optics and Lasers in Engineering, Elsevier, 2022, 151, pp.106842. ⟨10.1016/j.optlaseng.2021.106842⟩. ⟨hal-03490633⟩

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