基于CSMR与模糊集理论的石门大桥桥基边坡稳定性评价
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摘要
将Matlab模糊逻辑工具箱中图形用户界面GUI与CSMR法相结合建立评价桥基边坡稳定性模糊逻辑推理系统。其步骤为:首先为消除定量参数(如岩石强度指标、岩石质量指标、不连续结构面间距指标及方向修正系数等)取值的离散性,采用连续函数代替离散函数对岩质边坡稳定性分级方法中的参数进行修正取值,然后利用模糊推理系统处理岩质边坡稳定性影响因素所具有的模糊性,其后运用CSMR评价方法对岩质边坡稳定性进行评价。用此推理系统评价石门大桥两岸桥基边坡稳定性并与连续函数修正的CSMR结果相比较,结果表明:石门大桥桥基岩质高边坡岩体质量较好,可利用程度较高,边坡稳定性好,右岸边坡岩体质量略差于左岸;利用有限元软件计算得到左岸边坡稳定性系数为1.98,右岸边坡稳定性系数为0.98,表明将模糊集理论与CSMR评价方法相结合,是评价桥基边坡稳定性的一种有效方法。
Graphical user interface(GUI) in Matlab Fuzzy logic Toolbox and the Chinese slope mass rating(CSMR) are used to establish the fuzzy logic inference system for abutment slope stability analysis.In order to decrease the discrete nature of the quantitative parameters values of the CSMR,such as rock strength index,rock quality designation index,discontinuity spacing index and the correction factors of discontinuity direction,continuous functions instead of the discrete functions are used.The fuzzy logic inference is used to consider the fuzziness of rock slope stability factors and CSMR classification is used to evaluate the stability of rock slope.The stability of the Shimen Bridge abutment slope is assessed by the reason system and the results are compared with those by CSMR.Results show that the Shimen bridge has good slope rock quality,high availability degree and good slope stability.Compared the left bank the right bank has worse rock quality.The stability factor calculated by the finite element software for left bank slope and right one are 1.98 and 0.98,respectively.The analysis results show that the fuzzy set theory combined with the CSMR methods is effective to evaluate the abutment slope stability.
Graphical user interface(GUI) in Matlab Fuzzy logic Toolbox and the Chinese slope mass rating(CSMR) are used to establish the fuzzy logic inference system for abutment slope stability analysis.In order to decrease the discrete nature of the quantitative parameters values of the CSMR,such as rock strength index,rock quality designation index,discontinuity spacing index and the correction factors of discontinuity direction,continuous functions instead of the discrete functions are used.The fuzzy logic inference is used to consider the fuzziness of rock slope stability factors and CSMR classification is used to evaluate the stability of rock slope.The stability of the Shimen Bridge abutment slope is assessed by the reason system and the results are compared with those by CSMR.Results show that the Shimen bridge has good slope rock quality,high availability degree and good slope stability.Compared the left bank the right bank has worse rock quality.The stability factor calculated by the finite element software for left bank slope and right one are 1.98 and 0.98,respectively.The analysis results show that the fuzzy set theory combined with the CSMR methods is effective to evaluate the abutment slope stability.
引文
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[2]Tomas R,Delgado J,Seron J B.Modification of slope mass rating(SMR)by continuous functions[J].International Journal of Rock Mechanics and Mining Sciences,2007,44(7):1062-1069
[3]李秀珍,孔纪名,王成华.岩质边坡稳定性分级方法的连续函数修正及其应用[J].岩石力学与工程学报,2010,29(增1):3439-3446(Li Xuzhen,Kong Jiming,Wang Chenghua.Modification of rock slope stability classification systems by continuous functions and its applications[J].Chinese Journal of Rock Mechanics and Engineering,2010,29(S1):3439-3446(in Chinese))
[4]Romana M.New adjustment rating for application of Bieniawski classification to slope[C]//Proceedings of International Symposium on the Role of Rock Mechanics.Zacatecas,1985
[5]Romana M.Practice of SMR classification for slope appraisal[C]//Proceedings of the 5th International Symposium on Landslides,1988
[6]Bieniawski Z I.Rock mass classification in rock engineering[C]//Proceedings of Symposium on Exploration for Rock Engineering.Cape Town,1976:97-106
[7]闻新,周露,李江东,等.MATLAB模糊逻辑工具箱的分析与应用[M].北京:科学出版社,2001:37-46(Wen Xin,Zhou Lu,Li Jiangdong,et al.Analysis and application of MATLAB fuzzy logic toolbox[M].Beijing:Science Press,2001:37-46(in Chinese))
[8]徐卫亚,蒋中明,石安池.基于模糊集理论的边坡稳定性分析[J].岩土工程学报,2003,25(4):409-413(Xu Weiya,Jiang Zhongming,Shi Anchi.Slope stability analysis using fuzzy sets theory[J].Chinese Journal of Geotechnical Engineering,2003,25(4):409-413(in Chinese))
[9]王艳霞.模糊数学在边坡稳定分析中的应用[J].岩土力学,2010,31(9):3000-3004(Wang Yanxia.Application of fuzzy mathematics to slope stability analysis[J].Rock and Soil Mechanics,2010,31(9):3000-3004(in Chinese))
[10]张勇慧,李红旭,盛谦,等.基于模糊综合评判的公路岩质边坡稳定性分级研究[J].岩土力学,2010,31(10):3151-3156(Zhang Yonghui,Li Hongxu,Sheng Qian,et al.Study of stability gradation of highway rock slopes based on fuzzy comprehensive evaluation[J].Rock and Soil Mechanics,2010,31(10):3151-3156(in Chinese))
[11]马毅,王希良,刘振,等.基于模糊因素的岩质边坡地震稳定性多模型组合评价[J].岩土力学,2011,32(增1):624-629(Ma Yi,Wang Xiliang,Liu Zhen,et al.Multiplemodel combination evaluation of seismic stability of rock slopes based on fuzzy factors[J].Rock and Soil Mechanics,2011,32(S1):624-629(in Chinese))
[12]费康,张建伟.ABAQUS在岩土工程中的应用[M].北京:中国水利水电出版社,2010
[13]JTG C20—2011公路工程地质勘察规范[S].北京:人民交通出版社,2011(JTG C20—2011 Code for highway engineering geological investigation[S].Beijing:China Communications Press,2011(in Chinese))
[14]JTJ D30—2004公路路基设计规范[S].北京:人民交通出版社,2005(JTJ D30—2004 Specifications for design of highway subgrades[S].Beijing:China Communications Press,2005(in Chinese))
[15]郑颖人,陈祖煜,王恭先,等.边坡与滑坡工程治理[M].北京:人民交通出版社,2002(Zheng Yingren,Chen Zuyu,Wang Gongxian,et al.Slope and landslide engineering control[M].Beijing:China Communications Press,2002(in Chinese))
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