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DING De-xin, ZHANG Zhi-jun, SUN Jun. THE GENETIC-ALGORITHM-BASED APPROACH TO BACK ANALYSIS OF DISPLACEMENT PARAMETERS OF ELASTO-PLASTIC MODEL FOR ROCK MASS[J]. Engineering Mechanics, 2003, 20(6): 1-5.
Citation: DING De-xin, ZHANG Zhi-jun, SUN Jun. THE GENETIC-ALGORITHM-BASED APPROACH TO BACK ANALYSIS OF DISPLACEMENT PARAMETERS OF ELASTO-PLASTIC MODEL FOR ROCK MASS[J]. Engineering Mechanics, 2003, 20(6): 1-5.
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THE GENETIC-ALGORITHM-BASED APPROACH TO BACK ANALYSIS OF DISPLACEMENT PARAMETERS OF ELASTO-PLASTIC MODEL FOR ROCK MASS

  • Faculty of Construction, Resources and Environment, Nanhua University, Hengyang 421001, China;2. Faculty of Civil Engineering, Tongji University, Shanghai 200092, China

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  • Received Date: April 14, 2002
  • Revised Date: May 21, 2003
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  • The objective function of back analysis of displacement parameters of the elasto-plastic model for rock mass has many minimums. When the conventional mathematical optimization methods are employed to solve the problem, the search often falls in one of the minimums and cannot go any further. In order to avoid the situation, the principles of genetic algorithm have been utilized to establish a genetic-algorithm-based approach to the back analysis problem. The approach has been used to inverse the mechanical parameters of a prescribed elastoplastic model and the accuracy of the results has reached ninety percent.
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