Two-dimensional evaluation model of rock mass based on combination weighting and cloud model

被引：0
|
作者：
Wei B. [1 ]
Huang H. [1 ,2 ]
Xu Z. [1 ]
机构：
[1] School of Civil Engineering and Architecture, Nanchang University, Nanchang, 330031, Jiangxi
[2] Nanchang Agricultural Comprehensive Development Office, Nanchang, 330031, Jiangxi
来源：
Yanshilixue Yu Gongcheng Xuebao | / 3092-3099期
基金：
中国国家自然科学基金;
关键词：
Certainty degree; Cloud model; Projection pursuit(PP) method; Rock mass quality; Rock mechanics; Two-dimensional evaluation; Weight;
D O I：
10.13722/j.cnki.jrme.2015.0076
中图分类号：
学科分类号：
摘要：
Dam foundation rock mass quality evaluation is a multi-factor system process of synergy effect, in view of the problems existing in the evaluation process, the introduction of Cloud model, projection pursuit method and analytic hierarchy process(AHP) and fuzzy entropy theory, is put forward based on the improved Cloud-PP-AHP rock mass quality evaluation model for the two-dimensional. The model on the basis of rock mass quality evaluation index system and classification standard and evaluation index is calculated which belong to different quality levels of cloud model parameters;Based on hierarchy analysis and projection pursuit method to solve the combination weights of the indexes;Plug in the measured data of rock mass, for evaluation of rock mass is affiliated with various quality grades of integrated uncertainty;Assisted by fuzzy entropy E as the contestant, jointly build the rock mass quality grade evaluation of two dimensional evaluation model. Finally the model is applied to a hydropower station dam foundation rock mass quality evaluation, the evaluation results with other evaluation methods were analyzed, the results show that the model is applied to rock mass quality evaluation of effective and feasible, and the evaluation results intuitive, for rock mass quality evaluation provides a new way. © 2016, Science Press. All right reserved.
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页码：3092 / 3099
页数：7
相关论文
共 24 条
  • [1] Gong F., Li X., Application of distance discriminant analysis method to classification of engineering quality of rock masses, Chinese Journal of Rock Mechanics and Engineering, 26, 1, pp. 190-194, (2007)
  • [2] Zhang D., Zhang L., Li S., Et al., Weighted distance discriminant method basedon weight back analysis method and its application, Rock and Soil Mechanics, 31, 10, pp. 3243-3253, (2010)
  • [3] Liang G., Xu W., Tan X., Application of extension theory based on entropy weight to rock quality evaluation, Rock and Soil Mechanics, 31, 2, pp. 535-540, (2010)
  • [4] Shen S., Xu J., Dai S., Et al., Extenics evaluation of joint rock tunnel blasting quality based on entropy weighting method, China Civil Engineering Journal, 46, 12, pp. 118-126, (2013)
  • [5] Wen C., Bayes discrinant analysis method of rock mass quality classification, Journal of China Coal Society, 32, 4, pp. 395-399, (2008)
  • [6] Lu G., Zhu Z., Li H., Et al., Rock mass classification method in highway tunnel based on fuzzy analytic hierarchy process, Journal of Central South University: Science and Technology, 39, 2, pp. 368-374, (2008)
  • [7] Qiu D., Chen J., Que J., Et al., Evaluation of tunnel rock quality with routh sets theory and artificial neural networks, Journal of Jilin University: Earth Science, 38, 1, pp. 86-91, (2008)
  • [8] Feng Y., Application of grey optimal theory model in the stability classification of adjoining rock of underground construction, Chinese Journal of Geotechnical Engineering, 18, 3, pp. 62-66, (1996)
  • [9] Ren Q., Liu S., Chen J., Et al., Numerical research on the progressive failure gravity dam foundation rock mass based on damage theory, Journal of Hydraulic Engineering, 45, 1, pp. 1-9, (2014)
  • [10] Wang F., Liiang X.L., Du J.B., Strength criteria of jointed rock mass in unloading area, Applied Mechanics and Materials, 2212, 275, pp. 348-351, (2013)
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