Skip to main content
SpringerLink
Log in

Forward Simulation Signal of Underground Pipeline Based on Ground Penetrating Radar

  • RADIO WAVE METHODS
  • Published:
Russian Journal of Nondestructive Testing Aims and scope Submit manuscript

Abstract

The ground penetrating radar was applied to the detection of underground pipeline. The signal of ground penetrating radar was analyzed to simulate the different sizes of pipelines and oil. The data were processed by GRED HD software. Radar profiles and single-channel waveforms of underground pipelines and oil were obtained. The nonstationary signals of geological radars were processed and analyzed by the finite-difference time-domain method. The different radar characteristic signals of underground pipelines and radar signal variations of pipeline oil were discussed. It can improve the accuracy of interpretation of underground pipelines and oil.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.
Fig. 11.
Fig. 12.
Fig. 13.

Similar content being viewed by others

REFERENCES

  1. Jernelöv, A., Environmental effects of terrestrial oil spills, in Encyclopedia of the Anthropocene, 2018, pp. 323–335.

  2. Xie, P., Wen, H., Xiao, P., and Zhang, Y., Evaluation of ground-penetrating radar (GPR) and geology survey for slope stability study in mantled karst region, Environ. Earth Sci., 2018, vol. 77, p. 122.

    Article  Google Scholar 

  3. Gizzi, F.T. and Leucci, G., Global research patterns on ground penetrating radar (GPR), Surveys Geophys., 2018, vol. 2, pp. 1–30.

    Google Scholar 

  4. Cataldo, A., Benedetto, E.D., Cannazza, G., Leucci, G., Giorgi, L D., and Demitri, C., Enhancement of leak detection in pipelines through time-domain reflectometry/ground penetrating radar measurements., IET Sci., Meas. Technol., 2017, vol. 11, pp. 696–702.

    Article  Google Scholar 

  5. Ocaña-Levario, S.J., Carreño-Alvarado, E.P., Ayala-Cabrera, D., and Izquierdo, J., GPR image analysis to locate water leaks from buried pipes by applying variance filters, J. Appl. Geophys., 2018, vol. 152, pp. 236–247.

    Article  Google Scholar 

  6. Amran, T.S.T., Ismail, M.P., Ahmad, M.R., Amin, M.S.M., Ismail, M.A., and Sani, S., Monitoring underground water leakage pattern by ground penetrating radar (GPR) using 800 MHz antenna frequency, IOP Conf. Ser.: Mater. Sci. Eng., 2018, vol. 298, p. 012002.

  7. Varughese, A. and Khanna, R., Geophysical investigations using ground penetrating radar (GPR) for hydroelectric projects, Water & Energy Int., 2017, vol. 60, pp. 53–57.

    Google Scholar 

  8. PueyoAnchuela, Ó., Frongia, P., Gregorio, F.D., Sainz, A.M.C., and Juan, A.P., Internal characterization of embankment dams using ground penetrating radar (GPR) and thermographic analysis: A case study of the MedauZirimilis Dam (Sardinia, Italy), Eng. Geol., 2018, vol. 237.

  9. Chen, Jun, Zhao,Yonghui, and Wan, Minghao, Application of geological radar in underground pipeline detection, J. Eng. Geophys., 2005, vol. 4, p. 260.

    Google Scholar 

  10. Ge, R.B. and Qiu, G.X., Using the GPR to detect the diameters of the nonmetallic water pipes, Urban Geotech. Invest. Surv., 2009.

  11. Lin, C.J. and Li, S.C., Ground penetrating radar (GPR) and its application in tunnel engineering, Appl. Mech. Mater., 2014, vols. 501–504, pp. 1783–1786.

  12. Lalagüe, A., Lebens, M.A., Hoff, I., and Grøv, E., Detection of rockfall on a tunnel concrete lining with ground-penetrating radar (GPR), Rock Mech. & Rock Eng., 2016, vol. 49, pp. 2811–2823.

    Article  Google Scholar 

  13. Yanqi, Wu, Liu, S.X., Lei, Fu, and Hongqing, Li, Forward modeling on shallow bridge foundation defect detection by GPR, Geophys. & Geochem. Explor., 2017.

  14. Lai, W.W.L., Chang, R.K.W., and Sham, J.F.C., A blind test of nondestructive underground void detection by ground penetrating radar (GPR), J. Appl. Geophys., 2018, vol. 149, pp. 10—17.

  15. Yu, Kai, Signal Processing and Analysis of Ground Penetrating Radar Based on Hilbert-Huang Transform, Central South Univ., 2010.

    Google Scholar 

  16. Zhang, Hui, Liu, Zhenhong, Yang, Qing, Zhao, Zhen, and Sun, Congjun, Application of geological radar to detect groundwater petroleum hydrocarbon pollution in gas stations, Environ. Eng., 2013, vol. S1, pp. 229–232+258.

  17. Zhou, Xun, Study on Leakage Pollution of Underground Storage Tanks in Gas Stations in Southern Jiangsu, Chinese Acad. Geol. Sci., 2007.

  18. Bai, Bing and Zhou, Jian, Development and application status of ground penetrating radar testing technology, Chin. J. Rock Mech. Eng., 2001, vol. 4, pp. 527–531.

Download references

Funding

Financial support comes from the National Natural Science Foundation of China (Grant no. 51508159), the Fundamental Research Funds for the Central Universities of Hohai University (no. 2019B12914), the Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University (no. GHXN201904) are gratefully appreciated.

Author information

Authors and Affiliations

  1. Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, 210098, Nanjing, Jiangsu, China

    Lei Gao, Hantao Song, Gangqiang Kong & Guohui Hu

Authors
  1. Lei Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yi Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hantao Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gangqiang Kong
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Guohui Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lei Gao.

Ethics declarations

The authors declare that they have conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lei Gao, Luo, Y., Song, H. et al. Forward Simulation Signal of Underground Pipeline Based on Ground Penetrating Radar. Russ J Nondestruct Test 56, 936–947 (2020). https://doi.org/10.1134/S1061830920110042

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1061830920110042

Keywords:

Search

Navigation