Journal of Engineering Geology

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It’s most crucial issues, evaluation of jointed rock masses strength for surface and underground structures behavior analysis. That’s not enough laboratory tests that was done on intact samples can’t preparing index of rock mass properties in the large scale. On the other hand, doing experience tests aren’t accepted for the assessment insitu rock mass strength, especially in the feasibility studies. While, it was happen slip surfaces in rock mass the best method to estimation of rock mass strength values is previous slides back analysis. Conventional method is used for this problem solving, Mohr-Coulomb and Hoek-Brown failure criteria. In this method essential rock mass parameters are determined with a lot method such as, engineering rock mass classification. According to the large changes of Sungun copper mine rock mass properties, for determination of mine slope material cohesion strength and internal friction angle uncertainties, effective parameters on rock mass properties are supposed as random variables statement finally for each run of drilling process rock mass classification was done. In this study, rock mass classification of Sungun copper mine slopes was done by using RMR and GSI methods. Confidence level of geotechnical parameters are determined 90% approximately. Then Monte-Carlo simulation method (MCSM) is used to produce the probability density function of mentioned random variables(C, ϕ). Result shows random variables of rock mass properties simulating were done with a suitable standard deviation and coefficient of variation.

Keywords: coefficient

     

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