All Issue

2016 Vol.53, Issue 2 Preview Page

Research Paper

Back Analysis for Excavation-Induced Ground Movements Using a Direct Search Method

직접탐색법을 이용한 굴착 지반변위에 대한 역해석

박도현·박의섭

Dohyun Park and Eui-Seob Park

30 April 2016. pp. 112-121
PDF Citation
Abstract
The present study proposed a back analysis approach for identifying the mechanical parameters ofthe ground around underground excavations. The proposed approach was a direct search method based on asuccessive response surface methodology (RSM) in which the size of the region of interest is adjusted to facilitatea rapid convergence of the parameter estimation process. A simulation tool was developed to combine the RSMwith a numerical analysis code. Based on an underground excavation example, we investigated the accuracy andcomputational efficiency of the present approach and also investigated the effect of the adjustment of the regionof interest on parameter estimation. The results of this investigation showed that the algorithm, considering theadjustment of the region of interest, could produce better results in accuracy and computational efficiency thanthe non-adjustment algorithm, and demonstrated the applicability of the present back analysis to the parameterestimation of underground excavations.
Keywords
Back analysis
Response surface methodology
Parameter estimation
Direct search method
Optimization
본 연구에서는 지하굴착 주변 지반의 역학적 매개변수 추정을 위한 역해석 기법을 제안하였다. 본연구의 역해석은 직접탐색법 중의 하나인 순차적 응답면 기법을 기반으로 하며, 매개변수 추정을 위한 반복계산의 빠른 수렴을 위해 매개변수 관심영역의 크기를 조정하는 알고리즘을 적용하였다. 응답면 기법과 굴착해석을위한 수치코드를 연계하는 시뮬레이션 툴을 개발하였다. 지하굴착 예제를 토대로 제안된 역해석 기법의 정확도와 계산효율을 분석하였으며, 매개변수 관심영역의 크기 조정에 따른 영향을 조사하였다. 분석 결과, 관심영역의크기 조정을 고려한 알고리즘이 그렇지 않은 경우에 비해 매개변수 추정의 정확도과 계산효율 측면에서 더나은 결과를 제공하는 것으로 검토되었으며, 본 연구의 순차적 응답면 기법에 기반한 지하굴착 역해석의 적용성을 확인할 수 있었다.
키워드
역해석
응답면 기법
매개변수 추정
직접탐색법
최적화
References
  1. Box, G.E.P. and Wilsonm, K.B., 1951, “On the experimental attainment of optimum conditions,” Journal of the Royal Statistical Society Series B, Vol. 13, No. 1, pp. 1-45.
  2. Cho, T., 1996, “Development of back-analysis model for determining the mechanical properties of jointed rock,” Tunnel and Underground Space, Vol. 6, No. 1, pp. 19-29.
  3. Hwang, S., Im, J., Kwon, J., Kang, Y. and Joo, I., 2010, “A study on a compression index for settlement analysis for SCP treated ground using back analysis,” Journal of the Koean Geo-Environmental Society, Vol. 11, No. 7, pp. 5-14.
  4. Itasca, 2015, FLAC (Fast Lagrangian Analysis of Continua) software, http://www.itascacg.com/software/flac [accessed August 11, 2015].
  5. Jang, J.B. and Kim, M.K., 1998, “A study on the behavior prediction of underground structures by back analysis,” Tunnel and Underground Space, Vol. 8, No. 2, pp. 139-145.
  6. Jun, B.S., Lee, S.D., Rha, K.W. and Kim, M.K., 1994, “A back-analysis of tunnels in multi-layered underground structures,” Tunnel and Underground Space, Vol. 4, No. 1, pp. 17-23.
  7. Kaiser, P.K., Zou, D. and Lang, P.A., 1990, “Stress determination by back-analysis of excavation-induced stress changes-a case study,” Rock Mechanics and Rock Engineering, Vol. 23, No. 3, pp. 185-200.
  8. Kim, C.H., 2005, “Verification of direct back analysis software using FLAC as a subroutine,” Tunnel and Underground Space, Vol. 15, No. 5, pp. 344-351.
  9. Kim, M.K. and Jang, J.B., 1995, “Back analysis of the measured displacements by the coupled method of finite elements-boundary elements in tunnel,” Tunnel and Underground Space, Vol. 5, No. 3, pp. 205-213.
  10. Kim, S.H. and Na, S.W., 1995, “Structural reliability analysis using improved response surface method,” Journal of the Korean Society of Civil Engineers, Vol. 15, No. 1, pp. 63-72.
  11. Kim, S.H., Kim, S.M. and Yun, J.S., 2000, “A study on the application of genetic algorithms to the back analysis of tunnels,” Journal of the Korean Society of Mineral and Energy Resources, Vol. 37, No. 6, pp. 424-431.
  12. Ledesma, A, Gens, A. and Alonso, E.E., 1996, “Estimation of parameters in geotechnical backanalysis – I. Maximum likelihood approach,” Computers and Geotechnics, Vol. 18, No. 1, pp. 1-27.
  13. Lee, C.I. and Kim, C.W., 1991, “Stress analysis and deformation behavior of rock around underground caverns by back analysis of field measurements: (II) Back analysis theory,” Tunnel and Underground Space, Vol. 1, No. 2, pp. 204-217.
  14. Lee, S.G. and Kim, D.H., 2011, “Reliability analysis of pile type quarrywall using response surface method,” Journal of the Korean Society of Coastal and Ocean Engineers, Vol. 23, No. 6, pp. 407-413.
  15. Li, D., Chen, Y., Lu, W. and Zhou, C., 2011, “Stochastic response surface method for reliability analysis of rock slopes involving correlated non-normal variables,” Computers and Geotechnics, Vol. 38, No. 1, pp. 58-68.
  16. Najm, K. and Ishijima, Y., 1993, “Back analysis of tunnel lining deformation: development and application of passive resistance method,” Rock Mechanics and Rock Engineering, Vol. 26, No. 1, pp. 71-79.
  17. Park, C.H., Kim, C.Y. and Lee, H.K., 1999, “A back analysis study for the assessment of tunnel lining safety using numerical analysis model,” Tunnel and Underground Space, Vol. 9, No. 4, pp. 296-305.
  18. Park, D. and Park, E.S., 2015, “Inverse parameter fitting of tunnels using a response surface approach,” International Journal of Rock Mechancis and Mining Sciences, Vol. 77, pp. 11-18.
  19. Park, K.H., Shin, Y.W., Kim, J.J. and Yoo, H.K., 2013, “A study on the estimation method of rock load applied to concrete lining using back analysis,” Journal of the Korean Society of Civil Engineers, Vol. 33, No. 5, pp. 1957-1968.
  20. Park, S.C. and Moon, H.K., 2009, “A numerical study for the predictioin of weakness zone ahead of a tunnel face in isotropic and anisotropic rock masses,” Journal of the Korean Society of Mineral and Energy Resources, Vol. 46, No. 3, pp. 342-350.
  21. Park, S.C. and Moon, H.K., 2011, “A numerical study on the prediction of displacement behavior at the face of a shaft,” Journal of the Korean Society of Mineral and Energy Resources, Vol. 48, No. 3, pp. 323-334.
  22. Sakurai, S. and Takeuchi, K., 1983, “Back analysis of measured displacements of tunnels,” Rock Mechanics and Rock Engineering, Vol. 16, No. 3, pp. 173-80.
  23. Tonon, F., Amadei, B., Pan, E. and Frangopol, D.M., 2001, “Bayesian estimation of rock mass boundary conditions with applications to the AECL underground research laboratory,” International Journal of Rock Mechancis and Mining Sciences, Vol. 38, No. 7, pp. 995-1027.
  24. Vasco, D.W., Ferretti, A. and Novali, F., 2008, “Estimating permeability from quasi-static deformation: temporal variations and arrival-time inversion,” Geophysics, Vol. 73, No. 6, pp. O37-O52.
  25. Vasco, D.W., Karasaki, K. and Doughty, C., 2000, “Using surface deformation to image reservoir dynamics,” Geophysics, Vol. 65, No. 1, pp. 132-147.
  26. Wong, F.S., 1985, “Slope reliability and response surface method,” Journal of Geotechnical Engineering, Vol. 111, No. 1, pp. 32-53.
  27. Yang, H.S. and Jeon, Y.S., 2002, “Development of a back analysis program for rock tunnel using FLAC,” Tunnel and Underground Space, Vol. 12, No. 1, pp. 37-42.
  28. Yoon, G.L., Kim, K.J. and Kim, H.Y., 2013, “Reliability analysis of monopile for a offshore wind turbine using response surface method,” Journal of the Korean Society of Civil Engineers, Vol. 33, No. 6, pp. 2401-2409.
Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 53
  • No :2
  • Pages :112-121
  • DOI :https://doi.org/10.12972/ksmer.2016.53.2.112
Journal Informaiton Journal of the Korean Society of Mineral and Energy Resources Engineers Journal of the Korean Society of Mineral and Energy Resources Engineers
Online Submission
  • NRF
  • KOFST
  • crossref crossmark
  • crossref cited-by
  • KCI 문헌 유사도 검사
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close