期刊
GEOSCIENCE FRONTIERS
卷 9, 期 6, 页码 1619-1629出版社
CHINA UNIV GEOSCIENCES, BEIJING
DOI: 10.1016/j.gsf.2017.08.007
关键词
Spatial variability; Rock mass; Tunnel convergence; FORM; Random field
资金
- National Natural Science Foundation of China [41772287, 41502268]
- Research Program of Zhejiang Provincial Communication Department [2016-2-16]
This study aims at the probabilistic assessment of tunnel convergence considering the spatial variability in rock mass properties. The method of interpolated autocorrelation combined with finite difference analysis is adopted to model the spatial variability of rock mass properties. An iterative procedure using the first-order reliability method (FORM) and response surface method (RSM) is employed to compute the reliability index and its corresponding design point. The results indicate that the spatial variability considerably affects the computed reliability index. The probability of failure could be noticeably overestimated in the case where the spatial variability is neglected. The vertical scale of fluctuation has a much higher effect on the probabilistic result with respect to the tunnel convergence than the horizontal scale of fluctuation. And the influence of different spacing of control points on the computational accuracy is investigated. (C) 2017, China University of Geosciences (Beijing) and Peking University.
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