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Proposal of Models to Estimate the Coefficient of Permeability of Soils on the Natural Terrain considering Geological Conditions  

Jun, Duk-Chan (Geotechnical & Tunneling Division, Seoyeong Engineering Co. Ltd.)
Song, Young-Suk (Geologic Environment Division, Korea Institute of Geoscience and Mineral Resources)
Han, Shin-In (R&D Center, Seoyeong Engineering Co. Ltd.)
Publication Information
The Journal of Engineering Geology / v.20, no.1, 2010 , pp. 35-45 More about this Journal
Abstract
The soil tests have been performed on the specimens obtained from about 1,150 sites including landslides and non-landslides areas in natural terrains for last 10 years. Based on the results of those tests, the average soil properties are estimated and the simple equations for estimating permeability are proposed according to geologic conditions. The average permeability in Granite and Mudstone sites is higher than other sites and the content of silt and clay in Mudstone and Gneiss sites is higher than other sites. The correlation analysis and the regression analysis were performed to estimate the coefficient of permeability according to geological conditions. As the result of the correlation analysis, the coefficient of permeability is selected as a dependent variable, and the silt and clay contents, the water contents and the dry unit weights are selected as independent variables. As the result of the regression analysis, the silt and clay contents and the void ratio were involved commonly in the linear regression equations according to geological conditions. To verify the proposed the linear regression equations, the measured result of the coefficient of permeability at other sites was compared with the result predicted with the proposed equations. As the result of comparison, there were a little bit different between them for some data. However the difference was relatively small. Therefore, the linear regression equations for estimating the coefficient of permeability according to geological conditions may be applied to Korean soils. However, these equations should be verified and corrected continuously to improve the accuracy.
Keywords
Geological condition; Natural terrain; Coefficient of permeability; linear regression equation; statistical analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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