American Society of Civil Engineers


Search for Critical Slip Surface in Slope Stability Analysis by Spline-Based GA Method


by Jianping Sun, (Doctoral Student, Inst. of Mech., Chinese Academy of Sciences, Beijing 100080, China. E-mail: sunjianp@mails.gucas.ac.cn), Jiachun Li, (Prof., Inst. of Mech., Chinese Academy of Sciences, Beijing 100080, China. E-mail: jcli05@imech.ac.cn), and Qingquan Liu, (Prof., Inst. of Mech., Chinese Academy of Sciences, Beijing 100080, China. E-mail: qqliu@imech.ac.cn)

Journal of Geotechnical and Geoenvironmental Engineering, Vol. 134, No. 2, February 2008, pp. 252-256, (doi:  http://dx.doi.org/10.1061/(ASCE)1090-0241(2008)134:2(252))

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Document type: Technical Note
Abstract: The stability of a soil slope is usually analyzed by limit equilibrium methods, in which the identification of the critical slip surface is of principal importance. In this study the spline curve in conjunction with a genetic algorithm is used to search the critical slip surface, and Spencer’s method is employed to calculate the factor of safety. Three examples are presented to illustrate the reliability and efficiency of the method. Slip surfaces defined by a series of straight lines are compared with those defined by spline curves, and the results indicate that use of spline curves renders better results for a given number of slip surface nodal points comparing with the approximation using straight line segments.


ASCE Subject Headings:
Slope stability
Safety
Algorithms
Limit equilibrium