Journal of Korean Tunnelling and Underground Space Association (한국터널지하공간학회 논문집)

Korean Tunnelling and Underground Space Association (한국터널지하공간학회)
권호 표지
DOI QR코드

DOI QR Code

Numerical simulation study on applicability of electrical resistivity survey at tunnel face

터널 굴착면에서의 전기비저항 탐사 적용성에 관한 수치해석 연구

  • 이명종 (한국지질자원연구원) ;
  • 김낙영 (한국도로공사 도로교통연구원) ;
  • 이상래 (한국도로공사 도로교통연구원) ;
  • 황범식 (한국도로공사 도로교통연구원) ;
  • 하명진 ((주)희송지오텍) ;
  • 김기석 ((주)희송지오텍) ;
  • 조인기 (강원대학교 지구물리학과) ;
  • 이강현 (한국도로공사 도로교통연구원)
  • Received : 2022.04.07
  • Accepted : 2022.05.20
  • Published : 2022.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

Unexpected anomalies in the geotechnical investigation at design stage may cause problems during tunnel excavation. Therefore, it is important to predict the ground condition ahead of a tunnel face during tunnel excavation in order to prevent tunnel collapse. Despite the fulfillment of an electrical resistivity survey at the tunnel face, the existing electrical resistivity survey program can produce distorted results by the limitation of tunnel modelling. In this background, this study develops a modelling program for an electrical resistivity survey considering the tunnel shape. Numerical simulation and inverse calculation were performed for the electrical resistivity survey in the tunnel using the developed program. As a result, it was proved that the developed program could predict accurately the anomalous object's location and condition ahead of the tunnel face.

설계 단계의 지반조사에서 예측되지 않은 이상대는 터널 시공 중 많은 문제를 발생시킬 수 있다. 따라서 터널의 붕괴 예방을 위해 터널 시공 중 굴착면 전방의 지질상태를 예측하는 것은 매우 중요하다. 터널 굴착면에서 전기비저항 탐사를 하더라도, 기존의 전기비저항 탐사 프로그램들은 터널을 모델링하지 못하기 때문에 왜곡된 결과를 얻을 수 있다. 따라서 본 연구에서는 터널의 형태를 고려할 수 있는 전기비저항 모델링 프로그램을 개발하였다. 개발된 프로그램을 이용하여 터널에서 전기비저항 탐사에 대한 수치모델링 및 역산을 수행하였다. 그 결과, 굴착면 전방의 이상체의 위치 및 상태를 잘 예측하는 것으로 나타났다.

Keywords

Acknowledgement

본 연구는 한국도로공사의 연구비 지원에 의해 수행되었으며, 한국도로공사 도로교통연구원에서 수행된 '붕괴 예방을 위한 터널 막장 전방 예측기술 연구' 과제 연구보고서의 일부를 정리 및 가공하여 작성되었습니다.

References

  1. Dey, A., Morrison, H.F. (1979), "Resistivity modeling for arbitrarily shaped three dimensional structures", Geophysics, Vol. 44, No. 4, pp. 753-780. https://doi.org/10.1190/1.1440975
  2. Hasegawa, M., Usui, M., Gotoh, K. (1993), "Geological prognosis ahead of a tunnel face", Engineering Geology, Vol. 35, No. 3-4, pp. 229-235. https://doi.org/10.1016/0013-7952(93)90011-Z
  3. KECRI (2020), Predictions of ground condition ahead of tunnel face for preventing collapse, KECRI-2020-56.534.9607, Korea Expressway Corporation Research Institute.
  4. Kim, K.S., Kim, J.H., Jeong, L.C., Lee, I.M., Cho, G.C. (2015), "Development for prediction system of TBM tunnel face ahead using probe drilling equipment and drilled hole imaging equipment", Journal of Korean Tunnelling and Underground Space Association, Vol. 17, No. 3, pp. 393-401. https://doi.org/10.9711/KTAJ.2015.17.3.393
  5. Kim, N.Y., Kim, S.H., Chung, H.S. (2000), "Analysis of collapse shape and cause in the highway tunnel", Journal of Korean Tunnelling and Underground Space Association, Vol. 2, No. 3, pp. 13-23.
  6. Lee, I.M., Choi, S.S., Kim, S.T., Kim, C.K., Jun, J.S. (2002), "3D analysis of fracture zones ahead of tunnel face using seismic reflection", Journal of Korean Tunnelling and Underground Space Association, Vol. 4, No. 4, pp. 301-318.
  7. Lee, K.H. (2014), Predictions of ground conditions ahead of tunnel face applicable to TBM, Ph.D. Dissertation, Korea University, pp. 1-62.
  8. Lee, K.H., Seo, H.J., Park, J., Park, J., Lee, I.M. (2016), "A probabilistic assessment of ground condition prediction ahead of TBM tunnels combining each geophysical prediction method", Journal of Korean Tunnelling and Underground Space Association, Vol. 18, No. 3, pp. 257-272. https://doi.org/10.9711/KTAJ.2016.18.3.257
  9. Tripp, A.C., Hohmann, G.W., Swift Jr, C.M. (1984), "Two-dimensional resistivity inversion", Geophysics, Vol. 49, No. 10, pp. 1708-1717. https://doi.org/10.1190/1.1441578
  10. Yi, M.J., Kim, J.H., Chung, S.H. (2003), "Enhancing the resolving power of least-squares inversion with active constraint balancing", Geophysics, Vol. 68, No. 3, pp. 931-941. https://doi.org/10.1190/1.1581045
  11. Yi, M.J., Kim, J.H., Song, Y., Cho, S.J., Chung, S.H., Suh, J.H. (2001), "Three-dimensional imaging of subsurface structures using resistivity data", Geophysical Prospecting, Vol. 49, No. 4, pp. 483-497. https://doi.org/10.1046/j.1365-2478.2001.00269.x