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http://dx.doi.org/10.9720/kseg.2014.3.397

Correlation Analysis between Weight Ratio and Shear Strength of Fault Materials using Multiple Regression Analysis  

Moon, Seong-Woo (Department of Earth and Environmental Sciences, Chungbuk National University)
Yun, Hyun-Soek (Department of Earth and Environmental Sciences, Chungbuk National University)
Kim, Woo-Seok (Department of Earth and Environmental Sciences, Chungbuk National University)
Na, Jong-Hwa (Department of Information Statistics, Chungbuk National University)
Kim, Chang-Yong (Geotechnical Engineering Research Division, Korea Institute of Construction Technology)
Seo, Yong-Seok (Department of Earth and Environmental Sciences, Chungbuk National University)
Publication Information
The Journal of Engineering Geology / v.24, no.3, 2014 , pp. 397-409 More about this Journal
Abstract
The appearance of faults during tunnel construction is often difficult to predict in terms of strike, dip, scale, and strength, even though this information is essential in determining the strength of the surrounding rock mass. However, the strength and rock mass classification of fault zones are generally determined empirically on the construction site. In this study, 109 specimens were collected from fault of nine area throughout Korea, and direct shear tests were conducted and the particle distribution was analyzed to better characterize the fault zones. Six multiple regression models were established, using 97 of the specimens, to analyze the correlation between the shear strengths and weight rations of these fault materials. A verification of the six models, using the remaining 12 specimens, shows that in all of the models the coefficient of determination yielded $R^2{\geq}0.60$, with two models yielding $R^2{\geq}0.69$. These results provide useful information for determining the shear strength of fault materials in future studies.
Keywords
fault gouge zone; cataclastic zone; weight ratio; shear strength; multiple regression analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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