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Fuzzy Model Of Analysis For Jointed Rock Slope Stability And Its Engineering Application

Posted on:2015-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:J F LiFull Text:PDF
GTID:2252330422969451Subject:Geotechnical engineering
Abstract/Summary:PDF Full Text Request
Aiming at the stability problem of the jointed rock slope, fuzziness of many kinds ofinfluence factors for the slope problem has been considered in this paper. The slope stabilityproblems of the Highway and the open pit mine are analyzed by using the Fuzzy ProbabilityMeasure Model. It is better to take account of the uncertainty for the slope stability factors,and the possibility for the slope instability can be analyzed more comprehensive and moreactually.At the same time, engineering parameters in the Fuzzy Measure Model are determined byusing the Genetic Programming method (GPM). The nonlinear relationship between thevarious influencing factors are obtained by using the Genetic Programing method. So theappropriate GPM theoretical expressions have also been given, and these expressions can bedetermined for the parameter values required in the project. The Fuzzy Measure Model can beused to determine engineering parameters in the project examples. Thus a new method isformed for the slope stability analysis——Fuzzy Genetic Programing Method (FGPM). Inthis paper, the cutting slope of a highway and a large open-pit slope have been calculatedspecifically by FGPM. The theoretical results and the actual engineering situation are in goodagreement. So, FGPM can be well used to predict the stability of the rock slopes, and canmeet the accuracy requirements of the engineering.In addition, the simplified Bishop method and finite element method have also been used toanalyze the slope stability. And it has been proved for the correctness of FGPM in comparingthe analysis results. It is shown that FGPM is applicable and superiority to research thejointed rock slope stability, and the results can verify the classical analysis methods.Combined applications of these methods can verify and complement each other.
Keywords/Search Tags:jointed rock slope, stability, Fuzzy Measure, Genetic Programming, FGPM, parameters
PDF Full Text Request
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