基于RMR的模糊AHP法在岩体分级中的应用

李华; 焦彦杰

基于RMR的模糊AHP法在岩体分级中的应用

李华,
焦彦杰

中国地质调查局成都地质调查中心成都 610081

基金项目:

中国地质调查局项目(1212010880402)资助

详细信息

作者简介:
李华,应用地球物理学专业.Email:lhua8010@yahoo.com.cn

中图分类号: TU411
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- 文章访问数: 4052
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- 被引次数: 0
出版历程
- 收稿日期: 2010-10-20
- 修回日期: 2011-05-08
- 刊出日期: 2011-10-25

APPLICATION OF RMR BASED FUZZY AHP METHOD TO ROCK MASS CLASSIFICATION

LI Hua,
JIAO Yanjie

Chengdu Center of China Geological Survey,Chengdu 610081

摘要

摘要: 传统的RMR法采用固定评估因素、固定评分方式进行岩体分级,其评分过程中存在着许多不确定性和主观性,在地质条件复杂的情况下岩体分级效果差。为了改变RMR法存在的不足,本文在参考RMR法的基础之上,提出了将AHP法应用于岩体分级的方案,给出了模型计算流程。将岩体分级看作一个多属性决策问题,根据实际情况可随机加入或减少影响岩体质量的评估因素,集合专家的意见重新确定各评估因素的权重值、建立相应的评分准则,然后通过迭代法计算岩体质量总评分再进行岩体分级。针对AHP法无法解决的模糊问题,在模型计算流程中引入了模糊理论进行相关处理,并编程实现该流程。最后将此方案应用于大湾隧道进行岩体分级,分级结果与RMR法的结果进行对比分析,结果显示模糊AHP法的岩体分级结果与实际情况更加吻合。
- RMR法 /
- AHP法 /
- 岩体分级 /
- 模糊理论
Abstract: The traditional RMR method is especially focused on constant rating parameters and the form of giving scores.So there is no doubt that it has many indeterminate and subjective factors in the process of rating and cannot get an adequate result under complicated geologic environment.In order to improve the RMR method,this paper puts forward the AHP method to use in rock mass classification.Under this method,the rock mass classification is viewed as a group decision problem.It can readjust the rating parameters based on real geologic environment and calculate parameters' proportion,establish corresponding evaluation criterion.Then it can calculate rock mass total score which is used for the rating.The fuzzy logic theory is used in AHP method to solve fuzzy problem in fact.At last,this new method has been used in the rock mass classification of Dwan tunnel.Compared to the RMR method result for this instance,the classification result of AHP method is closer to the fact.
- Rock Mass Rating(RMR) method /
- AHP method /
- Rock mass classification /
- Fuzzy logic theory

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参考文献(1)

[1] 杜时贵, 许四法,杨树峰.岩石质量指标RQD与工程岩体分类[J].工程地质学报, 2000, 8 (3): 351~356. Du Shigui,Xu Sifa,Yang Shufeng.Application of rock mass quality designation(RQD)to engineering classification of rocks.Journal of Engineering Geology, 2000, 8 (3): 351~356.

[2] 杨泽平, 李海兵,曾夏生.层次分析法在工程岩体分类中的应用[J].工程地质学报, 2006, 14 (6): 830~835. Yang Zeping,Li Haibing,Zeng Xiashen.Use of analytic hierarchy process method for classification of engineering rock mass.Journal of Engineering Geology, 2006, 14 (6): 830~835.

[3] Byung-Sik Chun,Woong Ryul Ryu,Myung Sagong and Jong-Nam Do Indirect estimation of the rock deformation modulus based on polynomial and multiple regression analyses of the RMR system.International Journal of Rock Mechanics & Mining Sciences, 2009, 46 :649~658.

[4] Goel RK,Jethwa JL,Paithankar AG.Correlation between Barton's Q and Bieniawski's RMR-A new approach.International Journal of Rock Mechanics & Mining Sciences,Geomech.Abstr, 1996, 33 :179~181.

[5] SY Choi,HD Park.Comparison among different criteria of RMR and Q-system for rock mass classification for tunneling in Korea .Tunneling and Underground Space Technology, 2002, 17 :391~401.

[6] Hsu TH.Transportation project evaluations: A fuzzy measure AHP.Proceedings of NSC,Part C, 1997, 7 (1): 26~34.

[7] Ishikawa A,Amagasa T,Tamizawa G. ,Totsuta R and Mieno H.The max-min delphi method and fuzzy delphi method via fuzzy integration .Fuzzy Sets and Systems, 1993, 55 :241~253.

[8] Hsu HM and Chen CT.Aggregation of fuzzy opinions under group decision making .Fuzzy Sets and Systems, 1996, 79 (3): 279~285.

[9] Lee SK,Mogi G,Kim JW.A fuzzy analytic hierarchy process approach for assessing national competitiveness in the hydrogen technology sector.International Journal of Hydrogen Energy, 2008, 33 (23): 6840~6848.

[10] Lee SK,Mogi G,Kim JW.Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach .Journal of Loss Prevention in the Process Industries, 2009, 22 : 915~920.

[11] Lee SK,Mogi G,Kim KW.A fuzzy AHP/DEA hybrid model for allocating energy R&D resources efficiently: in case of energy technologies against high oil prices .Proc.7th Int.Conf.Sustainable Energy Technology, 2008, 12 : 2042~2049.

[12] 赵延喜, 徐卫亚.基于AHP 和模糊综合评判的 TBM 施工风险评估[J].岩土力学, 2009, 30 (3): 793~798. Zhao Yanxi,Xu Weiya.Risk assessment of Tbm construction for tunnels based on AHP and fuzzy synthetic evaluation.Rock and Soil Mechanics, 2009, 30 (3): 793~798.

[13] Saaty TL.The analytic hierarchy process in conflict management .The International Journal of Conflict Management, 1990,l.1(1): 47.

[14] 陈洁金, 周峰,阳军生.山岭隧道塌方风险模糊层次分析[J].岩土力学, 2009, 30 (8): 2365~2370. Cheng Jiejin,Zhou Feng,Yang Junsheng.Fuzzy analytic hierarchy process for risk evaluation of collapse during construction of mountain tunnel.Rock and Soil Mechanics, 2009, 30 (8): 2365~2370.

[15] 姚浩, 周红波,蔡来炳.软土地区土压盾构隧道掘进施工风险模糊评估[J].岩土力学, 2007, 28 (8): 1753~1756. Yao Hao,Zhou Hongbo,Cai Laibing.Fuzzy synthetic evaluation on construction risk of Epbs during tunneling in soft soil area.Rock and Soil Mechanics, 2007, 28 (8): 1753~1756.

[16] 王钦, 文福拴,刘敏.基于模糊集理论和层次分析法的电力市场综合评价[J].电力系统自动化, 2009, 33 (7): 32~37. Wang Qin,Wen Fushuan,Liu Min.Combined use of fuzzy set theory and analytic hierarchy process for comprehensive assessment of electricity markets.Automation of Electric Power Systems, 2009, 33 (7): 32~37.

[17] 张集, 张粒子,程瑜.基于SCP和模糊算法的市场力警戒级别评估[J].电力系统自动化, 2006, 30 (16): 15~20. Zhang Ji,Zhang Lizi,Cheng Yu.Market power warning in electricity market based on Scp model and fuzzy algorithm.Automation of Electric Power Systems, 2006, 30 (16): 15~20.

[18] 张广明, 邱春玲,钱夏夷.模糊层次分析法和人工神经网络模型在电梯风险评估中的应用[J].控制理论与应用, 2009, 26 (8): 931~933. Zhang Guangming,Qiu Chunling,Qing Xiayi.The application of fuzzy analytic hierarchy process and artificial neural network in elevator risk assessment.Control Theory & Applications, 2009, 26 (8): 931~933.

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