基于粗糙集和改进功效系数法的岩体质量评价
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摘要
将改进的功效系数法应用于地下工程岩体质量评价中,选取岩石质量指标、岩体完整性系数、结构面强度系数、岩石单轴饱和抗压强度和地下水渗水量作为主要评价指标,对30组现场典型数据样本进行学习.运用粗糙集理论确定各指标的权重,建立地下工程岩体质量评价的粗糙集和改进功效系数法模型,并应用到实际工程岩体质量评价中.结果表明:建立的粗糙集和改进功效系数法模型原理简单,对岩体质量分级的准确率为90%.将该模型应用到广东抽水蓄能电站地下工程岩体质量分级,评价结果与实际情况符合较好.
An improved efficacy coefficient method was used to classify the rock mass quality evaluation in underground engineering.Five indexes,i.e.,rock quality index,rock mass integrity coefficient,the intensity of structural plane coefficient,saturated uniaxial compressive strength of rock,and seepage measurement of groundwater were selected as the main evaluation indexes.By selecting 30 samples of typical data and using the rough set theory to determine the weight of each index,the rough set and improved efficacy coefficient method model was established to evaluate the rock mass quality evaluation in underground engineering,which was also applied to practical engineering rock mass quality results show that the established principles of the improved efficacy coefficient method is simple,and the established rough set and improved efficacy coefficient method model for evaluation the rock mass quality evaluation classification has the accuracy of 90%.The model was applied to the Guangdong pumped storage power station's rock mass quality evaluation classification in underground engineering,and the results are in good agreement with actual situation.
An improved efficacy coefficient method was used to classify the rock mass quality evaluation in underground engineering.Five indexes,i.e.,rock quality index,rock mass integrity coefficient,the intensity of structural plane coefficient,saturated uniaxial compressive strength of rock,and seepage measurement of groundwater were selected as the main evaluation indexes.By selecting 30 samples of typical data and using the rough set theory to determine the weight of each index,the rough set and improved efficacy coefficient method model was established to evaluate the rock mass quality evaluation in underground engineering,which was also applied to practical engineering rock mass quality results show that the established principles of the improved efficacy coefficient method is simple,and the established rough set and improved efficacy coefficient method model for evaluation the rock mass quality evaluation classification has the accuracy of 90%.The model was applied to the Guangdong pumped storage power station's rock mass quality evaluation classification in underground engineering,and the results are in good agreement with actual situation.
引文
[1]赵星光,蔡明,蔡美峰.剪胀对地下工程岩体位移的影响——以加拿大Donkin-Morien隧道为例[J].岩石力学与工程学报,2010,29(11):2186-2195.
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[3]宫凤强,李夕兵.距离判别分析法在岩体质量等级分类中的应用[J].岩石力学与工程学报,2007,26(1):190-194.
[4]田文,张发明,李雨坤.基于FAHP-可拓学模型的倾倒岩体质量评价[J].人民长江,2017,48(6):42-46.
[5]周智勇,韩章程.基于物元分析与云模型的地下工程围岩稳定性评价[J].工程设计学报,2017,24(1):57-63.
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[12]张文修,吴伟志,梁吉业,等.粗糙集理论与方法[M].北京:科学出版社,2006.
[13]孟凡奇,李广杰,王庆兵.基于功效系数法的泥石流灾害预警研究[J].岩土力学,2012,33(3):835-840.
[14]陶永宏,祁爱琳.基于功效系数法与BP神经网络的造船业风险预警研究[J].中国造船,2010,51(1):191-198.
[15]蒋洁.功效系数法在高校财务风险预警中的应用[J].财务与金融,2009(5):56-60.
[16]王迎超,岳全,孙红月,等.基于功效系数法的岩爆烈度分级预测研究[J].岩土力学,2010,31(2):529-534.
[17]徐佳,张勤,吴继敏.功效系数法在确定岩体优势面中的应用[J].河海大学学报:自然科学版,2008,36(4):538-541.
[18]路松峰,刘芳,胡波.一种基于属性依赖的属性约简算法[J].华中科技大学学报:自然科学版,2008,36(2):39-41.
[19]欧阳森,陈欣晖,耿红杰.基于功效系数法的低压配网台区电压特性评估[J].华南理工大学学报:自然科学版,2015,43(8):35-40.
[20]中华人民共和国水利部.GB/T50218—2014工程岩体分级标准[S].北京:中国计划出版社,2014.
[21]赖永标,乔春生,刘开云,等.支持向量机在围岩稳定性分类中的应用[J].水力学报,2006,37(9):1092-1096.
[2]邬爱清,汪斌.基于岩体质量指标BQ的岩质边坡工程岩体分级方法[J].岩石力学与工程学报,2014,33(4):699-706.
[3]宫凤强,李夕兵.距离判别分析法在岩体质量等级分类中的应用[J].岩石力学与工程学报,2007,26(1):190-194.
[4]田文,张发明,李雨坤.基于FAHP-可拓学模型的倾倒岩体质量评价[J].人民长江,2017,48(6):42-46.
[5]周智勇,韩章程.基于物元分析与云模型的地下工程围岩稳定性评价[J].工程设计学报,2017,24(1):57-63.
[6]赵洪波.岩爆分类的支持向量机方法[J].岩土力学,2005,26(4):642-644.
[7]杨朝晖,刘浩吾.地下工程围岩稳定性分类的人工神经网络模型[J].四川联合大学学报:工程科学版,1999,4(3):66-72.
[8]蔡广奎.围岩稳定性分类的BP网络模型的研究[D].南京:河海大学土木工程学院,2001.
[9]宫凤强,李夕兵,高科.地下工程围岩稳定性分类的突变级数法研究[J].中南大学学报:自然科学版,2008,39(5):1081-1086.
[10]苏永华,邹志鹏,赵明华.基于模糊集重心理论的岩体分类[J].岩土力学,2008,28(6):1118-1122.
[11]李彦恒,冯利,罗立平.基于Hoek-Brown准则的岩体分级法在地下工程中的应用[J].岩土力学,2012,33(2):201-204.
[12]张文修,吴伟志,梁吉业,等.粗糙集理论与方法[M].北京:科学出版社,2006.
[13]孟凡奇,李广杰,王庆兵.基于功效系数法的泥石流灾害预警研究[J].岩土力学,2012,33(3):835-840.
[14]陶永宏,祁爱琳.基于功效系数法与BP神经网络的造船业风险预警研究[J].中国造船,2010,51(1):191-198.
[15]蒋洁.功效系数法在高校财务风险预警中的应用[J].财务与金融,2009(5):56-60.
[16]王迎超,岳全,孙红月,等.基于功效系数法的岩爆烈度分级预测研究[J].岩土力学,2010,31(2):529-534.
[17]徐佳,张勤,吴继敏.功效系数法在确定岩体优势面中的应用[J].河海大学学报:自然科学版,2008,36(4):538-541.
[18]路松峰,刘芳,胡波.一种基于属性依赖的属性约简算法[J].华中科技大学学报:自然科学版,2008,36(2):39-41.
[19]欧阳森,陈欣晖,耿红杰.基于功效系数法的低压配网台区电压特性评估[J].华南理工大学学报:自然科学版,2015,43(8):35-40.
[20]中华人民共和国水利部.GB/T50218—2014工程岩体分级标准[S].北京:中国计划出版社,2014.
[21]赖永标,乔春生,刘开云,等.支持向量机在围岩稳定性分类中的应用[J].水力学报,2006,37(9):1092-1096.