基于模糊综合评判的砂土液化判别
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摘要
为了对砂土震动液化势进行预测,采用模糊综合评判理论建立了砂土液化可能性的模糊综合评判数学模型。选取标准贯入锤击数、地下水位、地震烈度、粘粒含量等4个实测特征指标作为模糊综合评判的因素集,对4个因素构造了相应的隶属函数,建立模糊关系矩阵,并依据4个因素在判别中的不同作用,拟定了对应的权重,运用N(·,+)算子对模糊矩阵进行运算,依据评判等级进行最终判别。通过对历史地震中砂土液化的实测数据进行综合评判验证,获得了非液化的判别正确率为85%,液化判别正确率为88%的较好结果。研究结果表明,模糊综合评判方法可有效地预测砂土液化势,可以作为砂土液化预测的方法之一。
In order to forecast the liquefaction of sand soil,fuzzy comprehensive evaluation model which is based on fuzzy comprehensive evaluation theory was established for forecasting the possibility of sand liquefaction.Four factors,i.e.blow number of standard penetration test,groundwater level,seismic intensity,and clay content were selected as the discriminant factors of the fuzzy comprehensive evaluation model.Corresponding membership functions and fuzzy relation matrixes of 4 factors were constructed.Based on the 4 factors in the discrimination of different roles,corresponding weights were made.The operation of N(·,+) was applied to calculate fuzzy matrix.Final judgment was made on the basis of evaluation grades.A series of historical earthquake data of sand liquefaction measured were judged with the fuzzy comprehensive evaluation.The correct rate of nonliquefaction was 85% and the correct rate of liquefaction was 88%.The results show that the fuzzy comprehensive evaluation model is one of the efficient methods for prediction of sand liquefaction.
In order to forecast the liquefaction of sand soil,fuzzy comprehensive evaluation model which is based on fuzzy comprehensive evaluation theory was established for forecasting the possibility of sand liquefaction.Four factors,i.e.blow number of standard penetration test,groundwater level,seismic intensity,and clay content were selected as the discriminant factors of the fuzzy comprehensive evaluation model.Corresponding membership functions and fuzzy relation matrixes of 4 factors were constructed.Based on the 4 factors in the discrimination of different roles,corresponding weights were made.The operation of N(·,+) was applied to calculate fuzzy matrix.Final judgment was made on the basis of evaluation grades.A series of historical earthquake data of sand liquefaction measured were judged with the fuzzy comprehensive evaluation.The correct rate of nonliquefaction was 85% and the correct rate of liquefaction was 88%.The results show that the fuzzy comprehensive evaluation model is one of the efficient methods for prediction of sand liquefaction.
引文
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[12]张小飞,苏国韶,吴彰敦.基于层次模糊综合评价的水库大坝安全评价法[J].广西大学学报:自然科学版,2009,34(3):321-325.
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[15]蔡文斌,李兆敏,张继国,等.二级模糊综合评判在水敏性稠油开发方式优选中的应用[J].广西大学学报:自然科学版,2008,33(2):176-179.
[16]王星华,崔科宇,周海林,等.振动力作用下饱和砂土液化的模糊神经网络预测[J].中国铁道科学2010,31(6):26-31.
[17]薛新华,陈群.基于GRNN的砂土液化危害等级评价模型研究[J].四川大学学报:工程科学版,2010,42(10):42-47.
[18]袁启旺,佘跃.地基液化评价的模糊不确定性分析[J].四川建筑科学研究,2010,36(4):130-134.
[19]SEED H B,MARTIN G R.The generation and dissipation of pore water pressure during soil liquefaction[J].Journal ofGeotechnical Engineering,ASCE,1977,(6):517-533.
[2]唐世栋,罗立疆,林华国.国内外砂土液化判别方法的比较[J].工程勘察,2007,(4):3-6.
[3]刘年平,王宏图,袁志刚,等.砂土液化预测的Fisher判别模型及应用[J].岩土力学,2012,33(2):554-557.
[4]张向东,冯胜洋,王长江.基于网格搜索的支持向量机砂土液化预测模型[J].应用力学学报,2011,28(1):24-28.
[5]刘章军,叶燎原,彭刚.砂土地震液化的模糊概率评判方法[J].岩土力学,2008,29(4):876-880.
[6]李方明,陈国兴.基于BP神经网络的饱和砂土液化判别方法[J].自然灾害学报,2005,14(2):108-114.
[7]范付松,胡新丽,李长冬,等.基于广义回归神经网络的砂土液化综合判别方法[J].煤田地质与勘探,2012,40(4):41-57.
[8]罗春雷,贺建超,丁吉,等.振动桩锤沉桩过程液化特性和贯入度数值分析[J].广西大学学报:自然科学版,2011,36(6):923-929.
[9]陈孝堂.建筑桩基抵抗水平力分体系的概念设计[J].建筑结构,2009,39(11):90-93.
[10]唐建新,徐宁霞,康钦容.模糊综合评判在矿山地质环境中的应用[J].重庆大学学报,2010,33(5):146-150.
[11]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.
[12]张小飞,苏国韶,吴彰敦.基于层次模糊综合评价的水库大坝安全评价法[J].广西大学学报:自然科学版,2009,34(3):321-325.
[13]PASTOR M,ZIENKIEWICZ O C,CHEN A H C.Generalized plasticity and the modeling of soil behavior[J].Interna-tional Journal for Numerical and Analytical Methods in Geotechnics,1990,14(3):151-190.
[14]ADEL M H,DERIN U.Neural network model for liquefaction potential in soil deposits using Turkey and Taiwan earthquakedata[J].Soil Dynamics and Earthquake Engineering,2007,27:521-540.
[15]蔡文斌,李兆敏,张继国,等.二级模糊综合评判在水敏性稠油开发方式优选中的应用[J].广西大学学报:自然科学版,2008,33(2):176-179.
[16]王星华,崔科宇,周海林,等.振动力作用下饱和砂土液化的模糊神经网络预测[J].中国铁道科学2010,31(6):26-31.
[17]薛新华,陈群.基于GRNN的砂土液化危害等级评价模型研究[J].四川大学学报:工程科学版,2010,42(10):42-47.
[18]袁启旺,佘跃.地基液化评价的模糊不确定性分析[J].四川建筑科学研究,2010,36(4):130-134.
[19]SEED H B,MARTIN G R.The generation and dissipation of pore water pressure during soil liquefaction[J].Journal ofGeotechnical Engineering,ASCE,1977,(6):517-533.
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