Chapter
Apr 26, 2012

Influence of Probability Distribution of Shear Strength Parameters on Reliability-Based Rock Slope Analysis

Publication: Slope Stability and Earth Retaining Walls

Abstract

This paper presents a study on the influence of the probability distribution curve of shear strength parameters on the reliability analysis of a rock slope. The findings of this investigation is applied a rock slope in Luoyang, China. The probability distribution of shear strength parameters (c and φ) may not follow the normal distribution assumed in most reliability-based analyses. There is a negative correlation between c and φ, which will affect significantly the results of the reliability analyses. In order to study the influence of a probability distribution curve, four different types of distribution curves are used in this study. It is concluded that the failure probability of a rock slope is sensitive to the probability distribution of the shear strength parameters. Based on this study, the failure probability can vary about ten times between two extreme cases where two different distribution curves are used. It is also found that the failure probability increases while the correlation coefficient between c and φ decreases. A sensitivity analysis of the probability distribution curve is suggested for future reliability analyses.

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Go to Slope Stability and Earth Retaining Walls
Slope Stability and Earth Retaining Walls
Pages: 65 - 72

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Published online: Apr 26, 2012

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Associate Professor, North China University of Water Resources and Electric Power, 20 Zhenghua Road, Zhengzhou, Henan, China 450011.E-mail: [email protected]
Jinyuan Liu [email protected]
Assistant Professor, Ryerson University, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3.E-mail: [email protected]
Bingxiang Yuan [email protected]
Ph.D. Candidate, Lanzhou University, 222 Tianshui Road, Lanzhou, Gansu, China 730000.E-mail: [email protected]
Leturer, North China University of Water Resources and Electric Power, 20 Zhenghua Road, Zhengzhou, Henan, China 450011.E-mail: [email protected]

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