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Optimal Estimation of Rock Mass Properties Using Genetic Algorithm  

Hong Changwoo (서울대학교 지구환경시스템공학부)
Jeon Seokwon (서울대학교 지구환경시스템공학부)
Publication Information
Tunnel and Underground Space / v.15, no.2, 2005 , pp. 129-136 More about this Journal
Abstract
This paper describes the implementation of rock mass rating evaluation based on genetic algorithm(GA) and conditional simulation technique to estimate RMR in the area without sufficient borehole data RMR were estimated by GA and conditional simulation technique with reflecting distribution feature and spatial correlation. And RMR determined by GA were compared with the results from kriging. Through the analysis of the results from 30 simulations, the uncertainty of estimation could be quantified.
Keywords
Rock mass properties; Genetic algorithm; Optimization; Geostatistics; Conditional simulation;
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Times Cited By KSCI : 3  (Citation Analysis)
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