img

Wechat

Adv. Search

Gold Science and Technology ›› 2016, Vol. 24 ›› Issue (6): 90-95.doi: 10.11872/j.issn.1005-2518.2016.06.090

Previous Articles     Next Articles

Uncertainty Measurement Analysis of Slope Stability Based on Variable Weight Theory

ZHAO Bin1,2,LI Xiaobei 1,DAI Xingguo1,WANG Xinmin1,ZHANG Deming1#br#   

  1. 1.School of Resources and Safety Engineering,Central South University,Changsha    410083,Hunan,China;
    2.Minmetals Exploration and Development Co.,Ltd.,China Minmetals Corporation,Beijing    100010,China
  • Received:2015-07-30 Revised:2015-12-24 Online:2016-12-28 Published:2017-01-22

Abstract:

When the evaluation index tend to the edge state,the model for slope stability analysis may result in“state out of balance” phenomenon.To solve the problem,the variable weight theory was introduced in slope stability analysis.The twelve most influential indices were selected from three respects including geological conditions,environment condition and engineering condition,to build the VW-UM analysis model for slope stability.In the model,constant weight must be calculated firstly.And then,variable weight which more coincidence with the real structure were calculated by variable weight theory based on the value of indices.The rank of slopes were taken by using uncertainty measurement theory at last.The model was used in analysis slopes of Xinqiao mine,Gushan mine and Huangmailing mine,the practice result reflected the superiority of the model in weight calculation.The evaluation result accord more perfectly with engineering facts when statistical value of indices tend to the edge stateual situation,provide a new method for reliability evaluation of emergency rescue system of underground mines.

Key words: slope stability, reliability analysis, variable weight theory, uncertainty measurement theory, slope stability, reliability analysis, variable weight theory, uncertainty measurement theory

CLC Number: 

  • TD313

[1] 杨天鸿,张锋春,于庆磊,等.露天矿高陡边坡稳定性研究 现状及发展趋势[J].岩土力学,2011,32(5):1437-1451.
[2] 高谦,薛改利,杨志强,等.等效岩体力学参数识别及边坡稳定性数值模拟研究[J].中国矿业大学学报,2015,44(5):423-429.
[3] Griffiths D V,Fenton G A.Probabilistic slope stability analysis by finite elements[J].Journal of Geotechnical and Geoenvironmental Engineering,2004,130(5):507-518.
[4] Duncan J M,Wright S G,Brandon T L.Soil Strength and Slope Stability[M].New York John Wiley & Sons,2014.
[5] Zolfaghari A R,Heath A C,McCombie P F.Simple genetic algorithm search for critical non-circular failure surface in slope stability analysis[J].Computers and geotechnics,2005,32(3):139-152.
[6] 高玮.基于蚁群聚类算法的岩石边坡稳定性分析[J].岩土力学,2009,30(11):3476-3480.
[7] 徐飞,徐卫亚,刘造保,等.基于 PSO-PP 的边坡稳定性评价[J].岩土工程学报,2011,33(11):1708-1713.
[8] Khajehzadeh M,Taha M R,El-Shafie A,et al.A modified gravitational search algorithm for slope stability analysis[J].Engineering Applications of Artificial Intelligence,2012,25(8):1589-1597.
[9] 王新民,康虔,秦健春,等.层次分析法—可拓学模型在岩质边坡稳定性安全评价中的应用[J].中南大学学报,2013,44(6):2455-2462.
[10]舒苏荀,龚文惠.二维随机场下边坡稳定性的径向基函数神经网络分析法[J].岩土力学,2015,36(4):1205-1210.
[11]Li C Q,Yang M J,Zhang X R,et al.Construction and performance analysis of variable-weight optical orthogonal codes for asynchronous OCDMA systems[J].Optoelectronics Letters,2014,10(4):290-294.
[12]汪培庄,郭嗣棕,包研科,等.因素空间中的因素分析法[J].辽宁工程技术大学学报(自然科学版),2014,33(7):865-870.
[13]Cui J,Shi J,Li Y,et al.Application of the variable weight combination model in aero-generator life prediction[C]//Control and Decision Conference (CCDC),2011 Chinese.IEEE,2011:2970-2973.
[14]Zhou J,Li X B.Integrating unascertained measurement and information entropy theory to assess blastability of rock mass[J].Journal of Central South University,2012(7):1953-1960.
[15]中华人民共和国水利部.工程岩体分级标准:GB/T50218-2014[S].北京:中国计划出版社,2015.
[16]康志强,周辉,冯夏庭,等.大型岩质边坡岩体质量的可拓学理论评价[J].东北大学学报(自然科学版),2007,28(12):1770-1774.
[17]谈小龙,徐卫亚,梁桂兰.可拓方法在岩石边坡整体安全评价中的应用[J].岩石力学与工程学报,2009,28(12):2504-2509.
[18]张菊连,沈明荣.水电边坡岩体稳定性分级系统研究[J].岩石力学与工程学报,2011(增):3481-3490.

[1] REN Qi,ZHANG Guocun,WANG Guangwei. Optimization and Practice on Floataion Reagent Dosing Point and Dosage in a Gold Mine of Qinghai Province [J]. Gold Science and Technology, 2017, 25(6): 68-74.
[2] HU Jianhua,AI Zihua. Extension Evaluation Model of Rock Mass Quality for Underground Mine Based on Optimal Combination Weighting [J]. Gold Science and Technology, 2017, 25(4): 39-45.
[3] WU Xiaokun,LIU Dunwen,JIANG Fan,TANG Yang,YANG Guang,YANG Chen. Extension Theory of Engineering Rock Mass Quality Evaluation based on the Feature Range [J]. Gold Science and Technology, 2015, 23(2): 68-75.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!