›› 2010, Vol. 31 ›› Issue (8): 2587-2591.

• Geotechnical Engineering • Previous Articles     Next Articles

Attribute interval recognition model based on projection pursuit weight for evaluation of stability of surrounding rock

XU Fei1, WANG Ke2, LIU Zao-bao3   

  1. 1. Hainan Highway Survey and Design Institute, Haikou 570206, China; 2. School of Environment, Nanjing University, Nanjing 210093, China; 3. Hohai University, Nanjing 210098, China
  • Received:2009-02-19 Online:2010-08-10 Published:2010-08-30

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Abstract:

Evaluation of the stability of surrounding rock is a complex system problem of uncertainty. A new model for evaluating stability of surrounding rock is established based on the projection pursuit(PP) optimized by the particle swarm optimization(PSO) and the attribute interval recognition model(AIRM), which is named as attribute interval recognition model based on projection pursuit weight(AIRM-PPW). Based on the analyzing of main influencing factors of surrounding rock stability, five indices are chosen as the evaluation indices. The attribute measurement interval of single index is computed through constructing the attribute measurement interval functions and the synthetic attribute measurement interval is calculated by the weight of PP. The confidence criterion and the score criterion are used to recognize the stability of surrounding rock. The result from case study indicates that the model is effective to evaluate the stability of surrounding rock with reliable conclusion. Moreover, using weight of PP, the model could avoid subjectivity and arbitrary in the process of determination of index weight, and ensure objectivity and accuracy of the evaluation.

Key words: surrounding rock stability, projection pursuit, attribute interval recognition, particle swarm optimization, evaluation

CLC Number: 

  • TU 0137
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