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Investigation of Indicator Kriging for Evaluating Proper Rock Mass Classification based on Electrical Resistivity and RMR Correlation Analysis  

Lee, Kyung-Ju ((주)지오맥스 기술연구소 지반공학부)
Ha, Hee-Sang ((주)지오맥스)
Ko, Kwang-Buem ((주)지오맥스 기술연구소)
Kim, Ji-Soo (충북대학교 자연과학대학 지구환경과학과)
Publication Information
Tunnel and Underground Space / v.19, no.5, 2009 , pp. 407-420 More about this Journal
Abstract
In this study geostatistical technique using indicator kriging was performed to evaluate the optimal rock mass classification by integrating the various geophysical information such as borehole data and geophysical data. To get the optimal kriging result, it is necessary to devise the suitable technique to integrate the hard (borehole) and soft (geophysical) data effectively. Also, the model parameters of the variogram must be determined as a priori procedure. Iterative non-linear inversion method was implemented to determine the model parameters of theoretical variogram. To verify the algorithm, behaviour of object function and precision of convergence were investigated, revealing that gradient of the range is extremely small. This algorithm for the field data was applied to a mountainous area planned for a large-scale tunneling construction. As for a soft data, resistivity information from AMT survey is incorporated with RMR information from borehole data, a sort of hard data. Finally, RMR profiles were constructed and attempted to be interpreted at the tunnel elevation and the upper 1D level.
Keywords
Indicator kriging; Variogram; RMR; Non-linear inversion; AMT;
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Times Cited By KSCI : 4  (Citation Analysis)
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