DOI QR코드

DOI QR Code

Clogging theory-based real time grouting management system applicable in soil conditions

  • Kwon, Young-Sam (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Kim, Jinchun (Korea Institute of Geo Technology Inc.) ;
  • Lee, In-Mo (School of Civil, Environmental and Architectural Engineering, Korea University)
  • 투고 : 2017.10.27
  • 심사 : 2018.05.21
  • 발행 : 2018.10.10

초록

In this study, a real-time grouting management system based on the clogging theory was established to manage injection procedure in real time. This system is capable of estimating hydraulic permeability with the passage of time as the grout permeates through the ground, and therefore, capable of estimating real time injection distance and flow rate. By adopting the Controlled Injection Pressure (CoIP) model, it was feasible to predict the grout permeation status with the elapse of time by consecutively updating the hydraulic gradient and flow rate estimated from a clogging-induced alteration of pore volume. Moreover, a method to estimate the volume of the fractured gap according to the reduction in injection pressure was proposed. The validity of the proposed system was successfully established by comparing the estimated values with the measured field data.

키워드

과제정보

연구 과제번호 : Development of Key Subsea Tunnelling Technology

연구 과제 주관 기관 : Ministry of Land, Infrastructure and Transport

참고문헌

  1. Arya, L.M. and Dierolf, T.S. (1989), "Predicting soil moisture characteristics from particle-size distributions: An improved method to calculate pore radii from particle radii", Proceedings of the International Workshop on Indirect Methods for Estimating the Hydraulic Properties of Unsaturated Soils, University of California, Riverside, California, U.S.A.
  2. Axelsson, M., Gustafson, G. and Fransson, A. (2009), "Stop mechanism for cementitious grouts at different water-to-cement ratios", Tunn. Undergr. Sp. Technol., 24(4), 390-397. https://doi.org/10.1016/j.tust.2008.11.001
  3. Do, J., Park, J., Choi, D. and Chun, B. (2012), "A study on the field application of automatic grouting system", J. Kor. Geoenviron. Soc., 13(1), 63-74.
  4. Fan, G., Zhong, D., Ren, B., Cui, B., Li, X. and Yue, P. (2016), "Real-time grouting monitoring and visualization analysis system for dam foundation curtain grouting", Trans. Tianjin University, 22(6), 493-501. https://doi.org/10.1007/s12209-016-2794-8
  5. Gruesbeck, C. and Collins, R.E. (1982), "Entrainment and deposition of fine particles in porous media", J. Soc. Petroleum Engineers, 22(6), 847-856. https://doi.org/10.2118/8430-PA
  6. IBM Corp. (2016), IBM SPSS Statistics for Windows, Version 24.0. Armonk, New York, U.S.A.
  7. Ives, K.J. (1982), "Fundamentals of filtration", Proceedings of the 21st European Federation of Chemical Engineering Event Symposium on Water Filtration, Antwerp, Belgium.
  8. Kim, J.S., Lee, I.M., Jang, J.H. and Choi, H. (2009), "Groutability of cement-based grout with consideration of viscosity and filtration phenomenon", J. Numer. Anal. Mech. Geomech., 33(16), 1771-1797.
  9. Kobayashi, S., Stille, H., Gustafson, G. and Stille, B. (2008), Real Time Grouting Control Method. Development and Application using Aespoe HRL Data, No. SKB-R-08-133, Swedish Nuclear Fuel and Waste Management Co.
  10. Montgomery, D.C., Jennings, C.L. and Kulahci, M. (2015). Introduction to Time Series Analysis and Forecasting, 2nd edition, John Wiley & Sons, Inc., Hoboken, New Jersey, U.S.A.
  11. Payatakes, A.C., Ng, K.M. and Flumerfeit, R.W. (1980), "Oil ganglion dynamics during immiscible displacement: Model formulation", J. ALChE, 26(3), 430-443. https://doi.org/10.1002/aic.690260315
  12. Raffle, J.F. and Greenwood, D.A. (1961), "The relationship between the rheological characteristics of grouts and their capacity to permeate soils", Proceedings of the 5th International Conference on Soil Mechanics and Foundation Engineering, Paris, France, July.
  13. Reddi, L.N. and Bonala, M.V. (1997), "Analytical solution for fine particle accumulation in soil filters", J. Geotech. Geoinviron. Eng., 123(12), 1143-1152. https://doi.org/10.1061/(ASCE)1090-0241(1997)123:12(1143)
  14. Taylor, R.M. and Choquet, P. (2012), "Automatic monitoring of grouting performance parameters", Proceedings of the 4th International Conference on Grouting and Deep Mixing, New Orleans, Louisiana, U.S.A., February.
  15. Wang, Q., Wang, S., Sloan, S.W., Sheng, D. and Pakzad, R. (2016), "Experimental investigation of pressure grouting in sand", Soils Found., 56(2), 161-173. https://doi.org/10.1016/j.sandf.2016.02.001
  16. Yang, Z.Q., Hou, K.P. and Guo, T.T. (2011), "Study on the effects of different water-cement ratios on the flow pattern properties of cement grouts", Appl. Mech. Mater., 71, 1264-1267.
  17. Yun, J.W., Park, J.J., Kwon, Y.S., Kim, B.K, and Lee, I.M. (2017), "Cement-based fracture grouting phenomenon of weathered granite soil", KSCE J. Civ. Eng., 21(1), 232-242.