基于模糊RES-多维云模型的岩体质量评判方法与应用
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摘要
选取岩体饱和抗压强度、岩体质量指标、体积节理系数、岩石内纵波波速值、嵌合程度和完整性系数作为岩体质量分级的指标因素,从系统角度入手,在一维云的基础上提出一种模糊RES(岩石系统工程)-多维云岩体质量的分级模型。结果表明:以云模型改进RES编码方式,可以有效弱化RES的主观性;基于改进的模糊RES分析了因素-因素、因素-系统间交互的作用,从系统的角度确定了因素的重要度;结合每个指标因素以多维云理论生成5朵六维岩体质量等级云模型,以软件程序实现工程实例验证,与实际地质报告、可拓法、一维云模型法评判的结果一致。
The saturated uniaxial compressive strength, rock quality designation, acoustic longitudinal wave velocity, chimerity and integrality coefficient are selected as the index factors of rock mass quality classification. Based on the system engineering and one-dimensional cloud theory, a fuzzy RES(Rock engineering system)—multidimensional cloud model for rock mass quality evaluation was proposed. The results show that improving the RES coding mode with cloud model can effectively weaken the subjectivity of RES. Based on the improved fuzzy RES, the factors-factors and factors-system interactions are analyzed, and the degree of importance of factors are determined from the perspective of the system. According to each index factor, five six-dimensional cloud models of rock mass quality grade are generated by multidimensional cloud theory. The method is compiled by the software program and verified by an engineering example. The result highly agrees with the geological report, extension theory and one-dimensional cloud model theory.
The saturated uniaxial compressive strength, rock quality designation, acoustic longitudinal wave velocity, chimerity and integrality coefficient are selected as the index factors of rock mass quality classification. Based on the system engineering and one-dimensional cloud theory, a fuzzy RES(Rock engineering system)—multidimensional cloud model for rock mass quality evaluation was proposed. The results show that improving the RES coding mode with cloud model can effectively weaken the subjectivity of RES. Based on the improved fuzzy RES, the factors-factors and factors-system interactions are analyzed, and the degree of importance of factors are determined from the perspective of the system. According to each index factor, five six-dimensional cloud models of rock mass quality grade are generated by multidimensional cloud theory. The method is compiled by the software program and verified by an engineering example. The result highly agrees with the geological report, extension theory and one-dimensional cloud model theory.
引文
[1]雷光伟,杨春和,王贵宾,魏翔,陈世万,霍亮.基于结构面综合指标的岩体质量评价及应用[J].岩土力学,2017,38(8):2343-2350.LEI Guang-wei,YANG Chun-he,WANG Gui-bin,WEIXiang,CHENG Shi-wan,HUO Liang.Rock quality evaluation and application based on comprehensive index of rock mass structures[J].Rock and Soil Mechanics,2017,38(8):2343-2350.
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[3]周述达,裴启涛,丁秀丽.改进分类区分度及权重的岩体质量评价灰评估模型及应用[J].岩石力学与工程学报,2016,35(S2):3671-3679.ZHOU Shu-da,PEI Qi-tao,DING Xiu-li.Application of grey evaluation model based on classification degree and weight of classification of indextto rock mass quality evaluation of underground engineering[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(S2):3671-3679.
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[5]梁桂兰,徐卫亚,谈小龙.基于熵权的可拓理论在岩体质量评价中的应用[J].岩土力学,2010,31(2):535-540.LIANG Gui-lan,XU Wei-ya,TAN Xiao-long.Application of extension theory based on entropy weight to rock quality evaluation[J].Rock and Soil Mechanics,2010,31(2):535-540.
[6]李绍红,王少阳,吴礼舟.基于MCS-TOPSIS耦合模型的岩体质量分类研究[J].岩石力学与工程学报,2017,36(5):1053-1062.LI Shao-hong,WANG Shao-yang,WU Li-zhou.Quality classification of rock mass based on MCS-TOPSIS coupling model[J].Chinese Journal of Rock Mechanics and Engineering,2017,36(5):1053-1062.
[7]曹琛,李会中,陈剑平,郑莲婧.基于组合赋权法与云模型坝基岩体质量评价[J].东北大学学报(自然科学版),2017,38(11):1643-1647.CAO Chen,LI Hui-zhong,CHEN Jian-ping,ZHENGLian-jing.Rock quality evaluation of dam foundation based on component and cloud model weighting method[J].Journal of Northeastern University(Natural Science),2017,38(11):1643-1647.
[8]魏博文,黄海鹏,徐镇凯.基于云模型和组合赋权的岩体质量二维评价模型[J].岩石力学与工程学报,2016,35(S1):3092-3099.WEI Bo-wen,HUANG Hai-peng,XU Zhen-kai.Two-dimensional evaluation model of rock mass based on combination weighting and cloud model[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(S1):3092-3099.
[9]JALALIFAR H,MOJEDIFAR S,SAHEBI A A,NEZAMABADI-POURC H.Application of the adaptive neuro-fuzzy inference system for prediction of a rock engineering classification system[J].Computers&Geotechnics,2011,38(6):783-790.
[10]张紫昭,郭瑞清,林文成,田忠锋.勘探阶段可采煤层顶底板岩体质量分类模型[J].应用基础与工程科学学报,2016,24(3):475-489.ZHANG Zi-shao,GUO Rui-qing,LIN Wen-cheng,TIANZhong-feng.A classification model for rock mass quality of the roof and floor of productive coal seams during coal geological exploration[J].Journal of Basic Science and Engineering,2016,24(3):475-489.
[11]SAMIMI N F,RINNE M,RAFIE M.Uncertainty determination in rock mass classification when using FRMRsoftware[J].Journal of the Southern African Institute of Mining and Metallurgy,2015,115(11):1073-1082.
[12]RAFIEE R,ATAEI M,KHALOOKAKAIE R.A new cavability index in block caving mines using fuzzy rock engineering system[J].International Journal of Rock Mechanics&Mining Sciences,2015,77:68-76.
[13]李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2014:44-55.LI De-yi,DU Yi.Artificial intelligence with uncertainty[M].Beijing:National Defense Industry Press,2014:44-55.
[14]JIAO,HUDSON J A.The fully-coupled model for rock engineering systems[J].International Journal of Rock Mechanics&Mining Sciences&Geomechanics Abstracts,1995,32(5):491-512.
[15]NAGHADEHI M Z,JIMENEZ R,KHALOKAKAIE R,JALALI S E.A new open-pit mine slope instability index defined using the improved rock engineering systems approach[J].International Journal of Rock Mechanics&Mining Sciences,2013,61:1-14.
[16]李志超,周科平,林允.基于RS-云模型的硫化矿石自燃倾向性综合评价[J].中国安全生产科学技术,2017,13(9):126-131.LI Zhi-chao,ZHOU Ke-ping,LIN Yun.Comprehensive evaluation on spontaneous combustion tendency of sulfide ore based on RS-cloud model[J].Journal of Safety Science and Technology,2017,13(9):126-131.
[17]胡建华,习智琴,周科平.深部采空区尺寸效应的危险度正态云辨识模型[J].中国安全科学学报,2016,26(10):70-75.HU Jian-hua,XI Zhi-qin,ZHOU Ke-ping.Normal cloud model for identifying hazard degree of deep goaf size effect[J].China Safety Science Journal,2016,26(10):70-75.
[18]王昭洋,王立,王小艺,张慧妍,彭森,黄振芳,刘波.改进赋权的水体富营养化多维云模型评价[J].计算机与应用化学,2015,32(3):346-350.WANG Zhao-yang,WANG Li,WANG Xiao-yi,ZHANGHui-yan,PENG Sen,HUANG Zhen-fang,LIU Bo.Multi-dimensional cloud model evaluation of water eutrophication based on improved weight method[J].Computers and Applied Chemistry,2015,32(3):346-350.
[19]WANG D,ZENG D B,SINGH V P,XU P C,LIU D F,WANG Y K,ZENG X K,WU J C,WANG L C.Amultidimension cloud model-based approach for water quality assessment[J].Environmental Research,2016,149:113-121.
[20]过江,张为星,赵岩.岩爆预测的多维云模型综合评判方法[J].岩石力学与工程学报,2018,37(5):1199-1206.GUO Jiang,ZHANG Wei-xing,ZHAO Yan.Amultidimensional cloud model for rockburst prediction[J].Chinese Journal of Rock Mechanics and Engineering,2018,37(5):1199-1206.
[21]郭戎潇,夏靖波,董淑福,龙门.一种基于多维云模型的多属性综合评价方法[J].计算机科学,2010,37(11):75-77.GUO Rong-xiao,XIA Jing-bo,DONG Shu-fu,LONG Men.Multiple attribute evaluation method based on multidimensional cloud model[J].Computer Science,2010,37(11):75-77.
[22]江迎.基于云模型和GIS/RS的坝堤溃决风险分析及灾害损失评估研究[D].武汉:华中科技大学,2012.JIANG Ying.Study on risk analysis and disaster loss assessment of dam break based on cloud model and GISI/RS[D].Wuhan:Huazhong University of Science and Technology,2012.
[23]王洪利.基于云模型的定性运算理论与方法[J].数学的实践与认识,2012,42(18):176-182.WANG Hong-li.Theory and method of qualitative operation based on cloud model[J].Mathematics in Practice and Theory,2012,42(18):176-182.
[2]张彪,戴兴国.基于有限区间云模型和距离判别赋权的岩体质量分类模型[J].水文地质工程地质,2017,44(5):150-157.ZHANG Biao,DAI Xing-guo.A classification model of rock mass based on finite interval cloud model and distance discrimination weighting[J].Hydrogeology&Engineering Geology,2017,44(5):150-157.
[3]周述达,裴启涛,丁秀丽.改进分类区分度及权重的岩体质量评价灰评估模型及应用[J].岩石力学与工程学报,2016,35(S2):3671-3679.ZHOU Shu-da,PEI Qi-tao,DING Xiu-li.Application of grey evaluation model based on classification degree and weight of classification of indextto rock mass quality evaluation of underground engineering[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(S2):3671-3679.
[4]胡建华,尚俊龙,雷涛.基于RS-TOPSIS法的地下工程岩体质量评价[J].中南大学学报(自然科学版),2012,43(11):4412-4419.HU Jian-hua,SHANG Jun-long,LEI Tao.Rock mass quality evaluation of underground engineering based on RS-TOPSISmethod[J].Journal of Central South University(Natural Science),2012,43(11):4412-4419.
[5]梁桂兰,徐卫亚,谈小龙.基于熵权的可拓理论在岩体质量评价中的应用[J].岩土力学,2010,31(2):535-540.LIANG Gui-lan,XU Wei-ya,TAN Xiao-long.Application of extension theory based on entropy weight to rock quality evaluation[J].Rock and Soil Mechanics,2010,31(2):535-540.
[6]李绍红,王少阳,吴礼舟.基于MCS-TOPSIS耦合模型的岩体质量分类研究[J].岩石力学与工程学报,2017,36(5):1053-1062.LI Shao-hong,WANG Shao-yang,WU Li-zhou.Quality classification of rock mass based on MCS-TOPSIS coupling model[J].Chinese Journal of Rock Mechanics and Engineering,2017,36(5):1053-1062.
[7]曹琛,李会中,陈剑平,郑莲婧.基于组合赋权法与云模型坝基岩体质量评价[J].东北大学学报(自然科学版),2017,38(11):1643-1647.CAO Chen,LI Hui-zhong,CHEN Jian-ping,ZHENGLian-jing.Rock quality evaluation of dam foundation based on component and cloud model weighting method[J].Journal of Northeastern University(Natural Science),2017,38(11):1643-1647.
[8]魏博文,黄海鹏,徐镇凯.基于云模型和组合赋权的岩体质量二维评价模型[J].岩石力学与工程学报,2016,35(S1):3092-3099.WEI Bo-wen,HUANG Hai-peng,XU Zhen-kai.Two-dimensional evaluation model of rock mass based on combination weighting and cloud model[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(S1):3092-3099.
[9]JALALIFAR H,MOJEDIFAR S,SAHEBI A A,NEZAMABADI-POURC H.Application of the adaptive neuro-fuzzy inference system for prediction of a rock engineering classification system[J].Computers&Geotechnics,2011,38(6):783-790.
[10]张紫昭,郭瑞清,林文成,田忠锋.勘探阶段可采煤层顶底板岩体质量分类模型[J].应用基础与工程科学学报,2016,24(3):475-489.ZHANG Zi-shao,GUO Rui-qing,LIN Wen-cheng,TIANZhong-feng.A classification model for rock mass quality of the roof and floor of productive coal seams during coal geological exploration[J].Journal of Basic Science and Engineering,2016,24(3):475-489.
[11]SAMIMI N F,RINNE M,RAFIE M.Uncertainty determination in rock mass classification when using FRMRsoftware[J].Journal of the Southern African Institute of Mining and Metallurgy,2015,115(11):1073-1082.
[12]RAFIEE R,ATAEI M,KHALOOKAKAIE R.A new cavability index in block caving mines using fuzzy rock engineering system[J].International Journal of Rock Mechanics&Mining Sciences,2015,77:68-76.
[13]李德毅,杜鹢.不确定性人工智能[M].北京:国防工业出版社,2014:44-55.LI De-yi,DU Yi.Artificial intelligence with uncertainty[M].Beijing:National Defense Industry Press,2014:44-55.
[14]JIAO,HUDSON J A.The fully-coupled model for rock engineering systems[J].International Journal of Rock Mechanics&Mining Sciences&Geomechanics Abstracts,1995,32(5):491-512.
[15]NAGHADEHI M Z,JIMENEZ R,KHALOKAKAIE R,JALALI S E.A new open-pit mine slope instability index defined using the improved rock engineering systems approach[J].International Journal of Rock Mechanics&Mining Sciences,2013,61:1-14.
[16]李志超,周科平,林允.基于RS-云模型的硫化矿石自燃倾向性综合评价[J].中国安全生产科学技术,2017,13(9):126-131.LI Zhi-chao,ZHOU Ke-ping,LIN Yun.Comprehensive evaluation on spontaneous combustion tendency of sulfide ore based on RS-cloud model[J].Journal of Safety Science and Technology,2017,13(9):126-131.
[17]胡建华,习智琴,周科平.深部采空区尺寸效应的危险度正态云辨识模型[J].中国安全科学学报,2016,26(10):70-75.HU Jian-hua,XI Zhi-qin,ZHOU Ke-ping.Normal cloud model for identifying hazard degree of deep goaf size effect[J].China Safety Science Journal,2016,26(10):70-75.
[18]王昭洋,王立,王小艺,张慧妍,彭森,黄振芳,刘波.改进赋权的水体富营养化多维云模型评价[J].计算机与应用化学,2015,32(3):346-350.WANG Zhao-yang,WANG Li,WANG Xiao-yi,ZHANGHui-yan,PENG Sen,HUANG Zhen-fang,LIU Bo.Multi-dimensional cloud model evaluation of water eutrophication based on improved weight method[J].Computers and Applied Chemistry,2015,32(3):346-350.
[19]WANG D,ZENG D B,SINGH V P,XU P C,LIU D F,WANG Y K,ZENG X K,WU J C,WANG L C.Amultidimension cloud model-based approach for water quality assessment[J].Environmental Research,2016,149:113-121.
[20]过江,张为星,赵岩.岩爆预测的多维云模型综合评判方法[J].岩石力学与工程学报,2018,37(5):1199-1206.GUO Jiang,ZHANG Wei-xing,ZHAO Yan.Amultidimensional cloud model for rockburst prediction[J].Chinese Journal of Rock Mechanics and Engineering,2018,37(5):1199-1206.
[21]郭戎潇,夏靖波,董淑福,龙门.一种基于多维云模型的多属性综合评价方法[J].计算机科学,2010,37(11):75-77.GUO Rong-xiao,XIA Jing-bo,DONG Shu-fu,LONG Men.Multiple attribute evaluation method based on multidimensional cloud model[J].Computer Science,2010,37(11):75-77.
[22]江迎.基于云模型和GIS/RS的坝堤溃决风险分析及灾害损失评估研究[D].武汉:华中科技大学,2012.JIANG Ying.Study on risk analysis and disaster loss assessment of dam break based on cloud model and GISI/RS[D].Wuhan:Huazhong University of Science and Technology,2012.
[23]王洪利.基于云模型的定性运算理论与方法[J].数学的实践与认识,2012,42(18):176-182.WANG Hong-li.Theory and method of qualitative operation based on cloud model[J].Mathematics in Practice and Theory,2012,42(18):176-182.
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