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Waveform Recognition and Analysis of Ground Penetrating Radar in Tunnel Detection

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DOI: 10.23977/jceup.2024.060301 | Downloads: 0 | Views: 28

Author(s)

Wenjie Yang 1,2, Gongxing Yan 3, Wangming Wu 4, Xiaoping Zou 1, Yuhu Sun 4

Affiliation(s)

1 Sichuan Jinghengxin Construction Engineering Testing Co., Ltd, Luzhou, 646000, China
2 School of Materials Science and Engineering, Wuhan Institute of Technology, Wuhan, 430205, China
3 School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou, 646000, China
4 Aneng Third Bureau Chengdu Engineering Quality Testing Co., Ltd, Chengdu, 611130, China

Corresponding Author

Gongxing Yan

ABSTRACT

With the rapid development of tunnel construction, the safety and stability of its structure have become one of the key points that people pay attention to when traveling. The current tunnel detection methods have low efficiency and insufficient accuracy, due to the lack of proficiency in the application of technical means. Ground penetrating radar technology has become an important tool in the field of tunnel detection due to its advantages such as high resolution, high efficiency, and non-contact. It belongs to non-destructive testing technology and plays a pivotal role in tunnel inspection. Therefore, in this paper, waveform identification of tunnels has been carried out using geo-radar technique. This paper applies the experimental method, data comparison, using gradient optimization, the loss values obtained from the training of U-Net and ResGradNet are demonstrated, and the experimental results show that the minimum root-mean-square error value is the maximum of 0.0006, and the minimum is close to 0.0001. 

KEYWORDS

Geo-Radar, Tunnel Construction, Waveform Identification, Detection and Evaluation

CITE THIS PAPER

Wenjie Yang, Gongxing Yan, Wangming Wu, Xiaoping Zou, Yuhu Sun, Waveform Recognition and Analysis of Ground Penetrating Radar in Tunnel Detection. Journal of Civil Engineering and Urban Planning (2024) Vol. 6: 1-9. DOI: http://dx.doi.org/10.23977/jceup.2024.060301.

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