›› 2010, Vol. 31 ›› Issue (6): 1897-1901.

• Geotechnical Engineering • Previous Articles     Next Articles

Classification of surrounding rock stabilities based on projection pursuit interpolation model

CHEN Guang-zhou1, 2，XU Xiao-chun2，WANG Jia-quan2，XIE Hua-ming1   

  1. 1. Department of Environmental Engineering, Anhui University of Architecture, Hefei 230022, China; 2. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China
  • Received:2009-02-23 Online:2010-06-10 Published:2010-06-25

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Abstract:

Because of multifactor synthetic effect，accurate classification of surrounding rock mass stability has always been a difficult problem. Five key factors are chosen to construct the model. In addition, because of few standard samples, fifty standard samples are produced by the way of stochastic interpolation on basis of classification standard. Aiming at the above complex optimization, genetic algorithm is used to get the optimal projection direction. On the basis of the direction, projection pursuit interpolation model is given. Subsequently, five unknown samples are classified based on the model. The classification results are consistent with that from other methods. Therefore, it is effective and reliable. Moreover, particular score of each sample could be computed by the model; so it has more precise classification and is a more promising method.

Key words: surrounding rock stability classification, projection pursuit interpolation model, genetic algorithm

CLC Number: 

  • TU 457
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