An algorithm for structural health monitoring by digital image correlation: Proof of concept and case study

被引:18
作者
Curt, Jordan [1 ,2 ]
Capaldo, Matteo [1 ]
Hild, Francois [2 ]
Roux, Stephane [2 ]
机构
[1] EDF Res & Dev, F-91120 Palaiseau, France
[2] Univ Paris Saclay, ENS Paris Saclay, CNRS, LMT Lab Mecan & Technol, F-91190 Gif Sur Yvette, France
关键词
STRESS INTENSITY FACTOR; CRACK DETECTION; EDGE-DETECTION; DAMAGE; IDENTIFICATION; STRAIN; FIELD; COMPOSITES; STEEL; BEAM;
D O I
10.1016/j.optlaseng.2021.106842
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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 reduces to a simple scalar product between the image and the corresponding extractor, which allows for very fast and non-iterative processing. As an illustration, this methodology is deployed on a test case of fatigue crack propagation.
引用
收藏
页数:16
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