Internal cavity detection of underwater riprap based on resistivity tomography
CSTR:
Author:
Affiliation:

(1.Comprehensive Technology Center of Pearl River Water Resources Commission, Ministry of Water Resources, Guangzhou 510611, China;2.Hubei Key Laboratory of Advanced Materials & Reinforcement Technology Research for Marine Environment Structures, Wuhan 430040, China;3.National Engineering Research Center for Inland Waterway Regulation, Chongqing Jiaotong University, Chongqing 400074, China;4.School of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China;5.Guangdong Polytechnic of Water Resources and Electric Engineering, Guangzhou 510925, China;6.Chongqing Nuowei Ecological Environment Engineering Co., Ltd., Chongqing 409099, China)

Clc Number:

TV861;TV698.1

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to improve the recognition accuracy of the underwater riprap, the physical model and resistivity tomography model of the riprap with internal cavities are established. The performance of resistivity tomography technology in the detection of internal cavities inside the underwater riprap is studied and compared with the traditional Kriging interpolation. The results show that the resistivity tomography can effectively identify the internal cavity in the underwater riprap and the inversion accuracy reaches a higher value when the number of stimulation points increases to 6. The identification ability of the resistivity tomography on the longitudinal section of channel is much higher than that of the traditional Kriging method. Meanwhile, if the region with conductivity greater than 300.μS/cm in inversion results is regarded as a cavity region, the overall inversion results are slightly larger than the real situation, and the deviations in the three directions of x、y、z are 2.73, 1.75, and 6.95.cm, respectively. Based on the inversion results, the forward calculation of the resistivity tomography model is carried out. It can be found that the fitting degree between the forward modeling and the measured data was 0.95, which proved the accuracy of the resistivity tomography inversion.

    Reference
    Related
    Cited by
Get Citation

张海发,马士谦,梁越,等.基于电阻率层析扫描的水下抛石体内部空洞探测[J].河海大学学报(自然科学版),2023,51(4):123-128.(ZHANG Haifa, MA Shiqian, LIANG Yue, et al. Internal cavity detection of underwater riprap based on resistivity tomography[J]. Journal of Hohai University (Natural Sciences),2023,51(4):123-128.(in Chinese))

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 03,2022
  • Revised:
  • Adopted:
  • Online: July 27,2023
  • Published:
Article QR Code