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Detection of Fatigue Cracks in Metal Material Based on Peridynamic Differential Operator
Jiaming Liang1, Qizheng Wang1, Yile Hu1, Yin Yu1,*
1 Aerospace Structure Research Center, School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai,
200240, China
* Corresponding Author: Yin Yu. Email:
The International Conference on Computational & Experimental Engineering and Sciences 2023, 25(4), 1-1. https://doi.org/10.32604/icces.2023.09307
Abstract
The most common form of damage in aircraft structures is fatigue damage. Accurate detection of fatigue
crack tip is the cornerstone for prediction of crack propagation path and the basis for calculation of residual
strength and stiffness. It is of great significance to improve structural fatigue resistance design. When
simulating the crack growth problem based on the traditional method, the crack tip needs to be re-meshed
so that resulting in low calculation efficiency. The expansion of fatigue cracks has a complex shape, for
example, the fatigue crack damage on the aircraft skin often shows a curved shape. The current traditional
mechanical model cannot simulate this com-plex crack shape. In this paper, the images of the test piece
obtained by DIC are used as input, and the corresponding displacement field is calculated by the optical flow
method. Since the points in the displacement field calculated by the optical flow method are unevenly
distributed points, the displacement field with uniformly distributed points is obtained by interpolation
using the Peridynamic Differential Operator. Based on the calculated displacement field, the Peridynamic
Differential Operator is used to calculate the strain, and the strain compatibility functional is used to
distinguish the cracked area from the non-cracked area. In order to reduce the influence of test noise on the
results, the strain compatibility functional is converted into a probability, and the crack area is extracted.
Good agreement has been observed between the PD predictions and DIC results, thus, verifying the
correctness and effectiveness of the proposed method.
Keywords
Cite This Article
APA Style
Liang, J., Wang, Q., Hu, Y., Yu, Y. (2023). Detection of fatigue cracks in metal material based on peridynamic differential operator. The International Conference on Computational & Experimental Engineering and Sciences, 25(4), 1-1. https://doi.org/10.32604/icces.2023.09307
Vancouver Style
Liang J, Wang Q, Hu Y, Yu Y. Detection of fatigue cracks in metal material based on peridynamic differential operator. Int Conf Comput Exp Eng Sciences . 2023;25(4):1-1 https://doi.org/10.32604/icces.2023.09307
IEEE Style
J. Liang, Q. Wang, Y. Hu, and Y. Yu "Detection of Fatigue Cracks in Metal Material Based on Peridynamic Differential Operator," Int. Conf. Comput. Exp. Eng. Sciences , vol. 25, no. 4, pp. 1-1. 2023. https://doi.org/10.32604/icces.2023.09307