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Quantitative detection of lateral subsurface cracks based on laser-generated Rayleigh waves in the frequency domain

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Abstract

In this paper, the depth and length of lateral subsurface cracks were gauged using laser-generated Rayleigh waves in the frequency domain. First, the frequency domain characteristics of reflected and transmitted Rayleigh waves after a laser-generated Rayleigh wave interacts with lateral subsurface cracks are investigated based on the finite element method (FEM). The simulation results reveal that there is a certain relationship between the center frequency of reflected and transmitted Rayleigh waves and crack size. The center frequency of the reflected Rayleigh wave decreases with increasing crack length but is independent of depth. When the crack length remains unchanged, the center frequency of the transmitted Rayleigh wave increases with increasing crack depth. Then, the quantitative relationships between the ratio of the crack length to the incident Rayleigh wavelength and the ratio of the reflected Rayleigh wave frequency to the incident Rayleigh wave frequency, the ratio of the crack depth to the incident Rayleigh wavelength and the ratio of the transmitted Rayleigh wave frequency to the incident Rayleigh wave frequency were obtained via multiple function fitting, and a method for the quantitative detection of the lateral subsurface crack depth and length was proposed. Finally, experimental and simulated data were used to validate the proposed relationships, and the results showed that the relative error of the measured crack length did not exceed 7.19% and that the relative error of the measured crack depth did not exceed 14.82%. The results show that the method has good application prospects for the quantitative measurement of lateral subsurface crack depth and length.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant nos. 52205561, 52327807 and 12072097), the Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems (Grant no. GZKF-202312), and the Major Program of Zhejiang Provincial Natural Science Foundation of China (Grant no. LD22E050010).

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Authors and Affiliations

  1. Zhuoyue Honers College, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China

    Buer Chen

  2. School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, 310018, Zhejiang, China

    Chuanyong Wang, Wen Wang, Yun Wang, Keqing Lu & Yuanping Ding

  3. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, Zhejiang, China

    Jian Chen, Yuanliu Chen & Bing-Feng Ju

Authors
  1. Buer Chen
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  2. Chuanyong Wang
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  3. Wen Wang
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  4. Yun Wang
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  7. Jian Chen
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Contributions

Buer Chen: Conceptualization, Data curation, Methodology, Writing – original draft. Chuanyong Wang: Funding acquisition, Resources, Supervision, Writing – review & editing. Wen Wang: Project administration. Yun Wang: Visualization. Keqing Lu: Formal analysis. Yuanping Ding: Investigation. Jian Chen: Validation. Yuanliu Chen: Software. Bing-Feng Ju: Project administration, Funding acquisition.

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Correspondence to Chuanyong Wang.

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Chen, B., Wang, C., Wang, W. et al. Quantitative detection of lateral subsurface cracks based on laser-generated Rayleigh waves in the frequency domain. Appl. Phys. A 130, 245 (2024). https://doi.org/10.1007/s00339-024-07402-0

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