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http://dx.doi.org/10.7843/kgs.2014.30.7.17

Estimation of Elastic Modulus of Jointed Rock Mass under Tunnel Excavation Loading  

Son, Moorak (Daegu University)
Lee, Won-Ki (Daegu University)
Hwang, Young-Cheol (Sangji University)
Publication Information
Journal of the Korean Geotechnical Society / v.30, no.7, 2014 , pp. 17-26 More about this Journal
Abstract
Tunneling-induced displacement in a jointed rock mass is an important factor to control tunnel stability and to secure a demanded space and construction quality. The magnitude of the inducible displacements is significantly affected by an elastic modulus and therefore, in a rock mass where a joint controls tunnel behavior, it is very important to estimate an elastic modulus of jointed rock mass reliably. Elastic modulus of jointed rock mass is affected by many factors such as rock type, joint condition, and loading condition. Nevertheless, most existing studies were focused on rough empirical relationships based on compressive loading conditions, which are different from tunnel excavation loading conditions, without a systematic approach of rock, joint, and loading conditions together. Therefore, this study considered rock and joint conditions systematically to estimate an elastic modulus of jointed rock mass under tunnel excavation loading. The controlled factors considered in this study are rock types and joint conditions (joint shear strength, joint inclination angle, number of joint sets, and joint spacing). Numerical parametric studies have been carried out with a consideration of different rock and joint conditions; the results have been compared with existing empirical relationships; and charts of elastic modulus change of different rock and joint conditions have been provided. The results are expected to have a great practical use for estimating the convergence induced by tunnel excavation in jointed rockmass.
Keywords
Rock tunnel; Convergence; Elastic modulus; Rock type; Joint condition; Excavation loading;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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