高陡岩质边坡稳定性评价的熵权属性识别模型与工程应用
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摘要
露天矿边坡工程稳定性一直是影响煤炭生产安全的重要因素,为有效控制边坡失稳、确保煤炭生产安全,基于属性数学理论建立了边坡稳定性评价的熵权属性识别模型.首先,根据边坡所处的地质条件与边坡失稳影响因素,选取边坡坡高、边坡坡度、天然容重、内摩擦角、粘聚力、地震烈度与孔隙水压力比作为岩质边坡稳定性评价的指标,采用熵权法确定评价指标所占权重;其次,分析评价指标的属性测度,构建属性测度函数以计算各个指标属性测度与综合属性测度;最后,采用置信度准则对边坡稳定性进行属性识别.通过对安太堡露天矿边坡治理前后的稳定性评价,得出削坡、注浆加固与预应力锚索加固等边坡治理措施的有效性.将属性识别模型评价结果与加权平均法评价结果进行对比验证,同时将边坡稳定性评价结果与边坡监测数据对比,结果表明:熵权属性识别模型可以有效地解决边坡稳定性的评判问题,且评价结果合理,为边坡工程稳定性评价提供了一条新思路.
Open pit slope stability has been the important factor that affects coal production safety.To effectively control the slope failure,ensure coal production safety,the Entropy Attribute Recognition Model of slope stability evaluation was built based on attribute mathematical theory.Firstly,according to the geological conditions and the influence factors of slope instability,the slope height,slope angle,natural bulk density,angle of internal friction,cohesion,seismic intensity and pore water pressure ratio as the rocky slope stability evaluation indicators was selected,and the entropy method was used to determine the weight of evaluation.Secondly,attribute measurement functions was rigorously constructed to compute attribute measurement of single index and synthetic attribute measurement.Lately,the identification of stability evaluation of rocky slope was recognized by the confidence criterion.By the evaluation of open pit slope stability,we can get the result that slope cutting,grouting,prestressed anchor reinforcement are effectiveness.The assessment results agree well with the results obtained by the weighted average evaluation method.Compared the open pit slope stability evaluation with the monitoring data of the slope,the results show that:Entropy attribute recognition model can effectively solve the problem of slope stability evaluation,and the evaluation results are reasonable,and provide a new approach evaluation the slope stability.
Open pit slope stability has been the important factor that affects coal production safety.To effectively control the slope failure,ensure coal production safety,the Entropy Attribute Recognition Model of slope stability evaluation was built based on attribute mathematical theory.Firstly,according to the geological conditions and the influence factors of slope instability,the slope height,slope angle,natural bulk density,angle of internal friction,cohesion,seismic intensity and pore water pressure ratio as the rocky slope stability evaluation indicators was selected,and the entropy method was used to determine the weight of evaluation.Secondly,attribute measurement functions was rigorously constructed to compute attribute measurement of single index and synthetic attribute measurement.Lately,the identification of stability evaluation of rocky slope was recognized by the confidence criterion.By the evaluation of open pit slope stability,we can get the result that slope cutting,grouting,prestressed anchor reinforcement are effectiveness.The assessment results agree well with the results obtained by the weighted average evaluation method.Compared the open pit slope stability evaluation with the monitoring data of the slope,the results show that:Entropy attribute recognition model can effectively solve the problem of slope stability evaluation,and the evaluation results are reasonable,and provide a new approach evaluation the slope stability.
引文
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[22]余文质.基于属性数学的土质边坡稳定性评价模型及应用[J].成都理工大学学报(自然科学版),2008,35(3):333-336.
[23]张强,刘克,高自友.属性综合评价系统在城市交通规划中的应用[J].系统工程理论与实践,2002,22(6):113-120.
[24]闫文周.基于综合属性度的项目投资决策模型及应用[J].西安建筑科技大学学报(自然科学版),2004,36(4):498-500.
[25]邱菀华.管理决策与应用熵学[M].北京:机械工业出版社,2001:32-86.
[26]张勇慧,李红旭,盛谦,等.基于模糊综合评判的岩质边坡稳定性分级研究[J].岩土力学,2010,31(10):3 152-3 157.
[27]陈仲颐,周景星,王洪瑾.土力学[M].北京:清华大学出版社,2007:39-273.
[2]何翔,李守巨,刘迎曦.岩土边坡稳定性预报的人工神经网络方法[J].岩土力学,2003,24(增刊):73-76.
[3]张德政,孙连英,高谦.用神经网络评价边坡稳定性[J].水文地质工程地质,1997(1):11-13.
[4]李喜安,彭建兵.用改进后的BP神经网络评价黄土质边坡稳定性[J].地质灾害与环境保护,2002,13(4):56-59.
[5]兰海涛,李谦,韩春雨.基于广义回归神经网络的边坡稳定性评价[J].岩土力学,2009,30(11):3 460-3 463.
[6]张学喜,王国体,张明.基于加速遗传算法的投影寻踪评价模型在边坡稳定性评价中的应用[J].合肥工业大学学报(自然科学版),2008,31(3):430-433.
[7]李梅,夏元友.基于灰色关联分析和案例推理的边坡稳定性评价方法[J].岩土工程技术,2004,18(3):109-113.
[8]马文涛.基于PSO和LSSVM的边坡稳定性评价方法[J].岩土力学,2009,30(3):845-848.
[9]吴大国,汪明武,张薇薇.基于模糊集对分析的黄土路堑边坡稳定性评价方法[J].岩土力学,2008,28(增刊):435-438.
[10]刘沐宇,朱瑞赓.基于模糊相似优先的边坡稳定性评价范例推理方法[J].岩石力学与工程学报,2002,21(8):1 188-1 193.
[11]李思平,孙连英.基于非线性理论的边坡稳定性评价模型[J].水文地质工程地质,2002(2):11-14.
[12]程乾生.属性识别理论模型及应用[J].北京大学学报(自然科学版),1997,33(1):12-20.
[13]程乾生.质量评价的属性数学模型和模糊数学模型[J].数理统计与管理,1997,16(6):18-23.
[14]程乾生.属性集和属性综合评价系统[J].系统工程理论与实践,1997(9):1-8.
[15]杨春玲.基于属性数学的综合评价模型[D].大连:大连理工大学,2008.
[16]靳娜,娄寿春.基于模糊综合评判的目标属性识别模型研究[J].计算机仿真,2004,21(1):35-37.
[17]肖玲莉,王悦.基于属性识别模型的边坡稳定性评价[J].价值工程,2010:130-131.
[18]文畅平.隧道瓦斯突出危险性评价的属性识别模型与实例[J].煤炭学报,2011,36(8):1 322-1 328.
[19]文畅平.基于属性数学理论的岩体质量分级方法[J].水利发电学报,2008,27(3):75-80.
[20]文畅平,杨果林.基于属性数学理论的岩土边坡地震稳定性评价[J].中国铁道科学,2010,31(5):8-14.
[21]文畅平.属性综合评价系统在岩爆发生和烈度分级中的应用[J].工程力学,2008,25(6):153-158.
[22]余文质.基于属性数学的土质边坡稳定性评价模型及应用[J].成都理工大学学报(自然科学版),2008,35(3):333-336.
[23]张强,刘克,高自友.属性综合评价系统在城市交通规划中的应用[J].系统工程理论与实践,2002,22(6):113-120.
[24]闫文周.基于综合属性度的项目投资决策模型及应用[J].西安建筑科技大学学报(自然科学版),2004,36(4):498-500.
[25]邱菀华.管理决策与应用熵学[M].北京:机械工业出版社,2001:32-86.
[26]张勇慧,李红旭,盛谦,等.基于模糊综合评判的岩质边坡稳定性分级研究[J].岩土力学,2010,31(10):3 152-3 157.
[27]陈仲颐,周景星,王洪瑾.土力学[M].北京:清华大学出版社,2007:39-273.
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