Technical Paper
Jan 28, 2016

Slope Stability Analysis Based on Experimental Design

Publication: International Journal of Geomechanics
Volume 16, Issue 5

Abstract

In this paper, the authors propose an analytical model for the prediction of the slope safety factor as a function of basic geometrical parameters (slope height H and slope angle β) and soil factors (bulk density γ, cohesion c, angle of internal friction φ, and pore water pressure coefficient ru). Research was performed by applying the statistical technique of experimental design, for which the input data were provided by stability analyses of different homogeneous slopes with a circular slip surface using the Spencer limit equilibrium method. The proposed model represents a nonlinear equation of a simpler form and higher prediction accuracy than those of the existing mathematical expressions, with predominant linear effect of the individual factors and significant influence of the two-factor interactions. Linear terms in a derived equation indicate a positive effect of c or φ and a negative effect of H, β, γ, or ru on slope stability. Because of two-factor interactions, the effect of c is highly dependent on H, β, γ, and φ, whereas the influence of φ is predetermined by the values of β and ru.

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Acknowledgments

This research was partly supported by the Ministry of Education, Science, and Technological Development of the Republic of Serbia (Contract No. 176016). Special thanks also go to the Institute for the Development of Water Resources (Jaroslav Černi) for extensive communication during the research.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 16Issue 5October 2016

History

Received: Nov 25, 2014
Accepted: Jun 4, 2015
Published online: Jan 28, 2016
Discussion open until: Jun 28, 2016
Published in print: Oct 1, 2016

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Authors

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Srđan Kostić, Ph.D. [email protected]
Institute for Development of Water Resources Jaroslav Černi, 11226 Pinosava, Belgrade, Serbia (corresponding author). E-mail: [email protected]
Nebojša Vasović, Ph.D.
Dept. of Applied Mathematics, Faculty of Mining and Geology, Univ. of Belgrade, 11000 Belgrade, Serbia.
Duško Sunarić, Ph.D.
Institute for Development of Water Resources Jaroslav Černi, 11226 Pinosava, Belgrade, Serbia.

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