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Slope Stability Analysis Based on Experimental Design
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DOI：10.1061/(ASCE)GM.1943-5622.0000551.png)
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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 ) and soil factors (bulk density , cohesion c, angle of internal friction phi, and pore water pressure coefficient r(u)). 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 phi and a negative effect of H, , , or r(u) on slope stability. Because of two-factor interactions, the effect of c is highly dependent on H, , , and phi, whereas the influence of phi is predetermined by the values of and r(u).
Keyword:
CRITICAL SLIP SURFACE
PREDICTION
ALGORITHM
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3.3
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