Open AccessA Genetic Algorithm for Locating the Multiscale Critical Slip Surface in Jointed Rock Mass Slopes
Author(s) -
Qiang Xu,
Jianyun Chen,
Jing Li,
Hong-yuan Yue
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/543081
Subject(s) - rock mass classification , anisotropy , finite element method , genetic algorithm , fitness function , slip (aerodynamics) , safety factor , stress field , algorithm , structural engineering , factor of safety , slope stability analysis , geotechnical engineering , computer science , geology , mathematics , slope stability , mathematical optimization , engineering , physics , quantum mechanics , aerospace engineering
The joints have great influence on the strength of jointed rock mass and lead to the multiscale, nonhomogeneous, and anisotropic characteristics. In order to consider these effects, a new model based on a genetic algorithm is proposed for locating the critical slip surface (CSS) in jointed rock mass slope (JRMS) from its stress field. A finite element method (FEM) was employed to analyze the stress field. A method of calculating the mechanical persistence ratio (MPR) was used. The calculated multiscale and anisotropic characteristics of the MPR were used in the fitness function of genetic algorithm (GA) to calculate the factor of safety. The GA was used to solve optimization problems of JRMS stability. Some numerical examples were given. The results show that the multiscale and anisotropic characteristics of the MPR played an important role in locating the CSS in JRMS. The proposed model calculated the CSS and the factor of safety of the slope with satisfactory precision
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