GIS环境下大区域工程场地地震液化势的二维概率评价方法
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摘要
用具有概率意义的饱和砂土抗液化强度经验公式来对大区域场地进行地震液化势二维概率评价;在GIS软件ArcGIS的支持下,将取样钻孔处的液化势评价结果等价于数字高程模型(Digital Elevation Model,DEM)中的高程,利用ArcGIS空间分析模块中的Kriging插值法估计大区域场地的地震液化范围。研究表明:将Kriging法应用于岩土工程地质特征的统计推断,有助于揭示勘探孔以外的地层信息,对于大区域场地地震液化范围的判别是一个较好的手段;利用ArcGIS空间分析模块中的Kriging法,通过已勘察点的信息(液化势)来估计未勘测点的土层液化势,能够较好地区划出场地地震液化势的空间分布特征。
The empirical equation of cyclic resistance ratio CRR of saturated sands with different probability level is utilized to evaluate the earthquake-induced sand liquefaction for 2D large region site.By GIS technique,the evaluation values of seismic liquefaction potential at the observation boreholes can be adopted as the elevation in digital elevation model and then the identification of liquefaction locality for 2D large region site can also be estimated based on Kriging interpolation method.The research shows that: The Kriging interpolation is an effective method to estimate the latent distribution of the site liquefaction potential beyond the observation boreholes.So it is a preferable way to evaluate the possible liquefaction range for 2D large site.Based on ArcGIS software,the Kriging method embedded in the "Spatial Analysis" extension module can be utilized to evaluate the liquefaction potential of the unidentified points by the evaluated liquefaction potential results of the reconnaissance boreholes.Thus the 2D distribution map of the latent liquefaction potential for the large region site can be generated.
The empirical equation of cyclic resistance ratio CRR of saturated sands with different probability level is utilized to evaluate the earthquake-induced sand liquefaction for 2D large region site.By GIS technique,the evaluation values of seismic liquefaction potential at the observation boreholes can be adopted as the elevation in digital elevation model and then the identification of liquefaction locality for 2D large region site can also be estimated based on Kriging interpolation method.The research shows that: The Kriging interpolation is an effective method to estimate the latent distribution of the site liquefaction potential beyond the observation boreholes.So it is a preferable way to evaluate the possible liquefaction range for 2D large site.Based on ArcGIS software,the Kriging method embedded in the "Spatial Analysis" extension module can be utilized to evaluate the liquefaction potential of the unidentified points by the evaluated liquefaction potential results of the reconnaissance boreholes.Thus the 2D distribution map of the latent liquefaction potential for the large region site can be generated.
引文
[1]Youd T L,Idriss I M.Liquefaction resistance ofsoils:summary report from the 1996 NCEER and1998 NCEER/NSF workshops on evaluation of lique-faction resistance of soils[J].Journal of Geotechnicaland Geoenvironmental Engineering,ASCE,2001,(4):297-313
[2]陈国兴,李方明.基于径向基函数神经网络模型的砂土液化概率判别方法[J].岩土工程学报,2006,28(3):301-305Chen G X,Li F M.Probabilistic estimation of sandliquefaction based on neural network model of radialbasis function[J].Chinese Journal of GeotechnicalEngineering,2006,28(3):301-305
[3]王靖波,潘懋,张绪定.基于Kriging方法的空间散乱点插值[J].计算机辅助设计与图形学学报,1999,11(6):525-529Wang J B,Pan M,Zhang X D.The kriging interpola-tion method for scattered data points[J].ComputerAided Design and Computer Graphics,1999,11(6):525-529
[4]周小文,付晖,吴昌瑜.地层特性随机场插值方法应用研究[J].岩土力学,2005,26(2):221-224Zhou X W,Fu H,Wu C Y.Application study of spa-tial interpolation method in geological random field[J].Chinese Journal of Rock and Soil Mechanics,2005,26(2):221-224
[5]ESRI Inc.Using ArcGIS Spatial Analyst[Z].ESRIInc.,2002
[6]汤皓,陈国兴.人工神经网络和GIS在城市防震减灾中的应用[J].系统仿真学报,2006,18(增1):352-355Tang H,Chen G X.Application of ANN and GIS tourban seismic prevention and disaster mitigation[J].Journal of System Simulation,2006,18(S1):352-355
[7]汤皓,陈国兴.用ANN模型扩展COMGIS系统的地震灾害模拟仿真功能[J].系统仿真学报,2006,18(增2):587-590+594Tang H,Chen G X.Linking ANN model to extendthe virtual reality and simulation of earthquake-in-duced hazard in COMGIS system[J].Journal of Sys-tem Simulation,2006,18(S2):587-590+594
[8]汤皓,陈国兴,邵进达.基于GIS技术的场地地震液化风险评估系统——初步研究[J].自然灾害学报,2004,13(5):123-127Tang H,Chen G X,Shao J D.Risk-evaluating sys-tem of seismic site liquefaction based on GIS tech-nique:a primary research[J].Journal of Natural Dis-asters,2004,13(5):123-127
[9]汤皓,陈国兴,李方明.基于ANN和GIS耦合模型的场地地震液化势评价系统研究[J].岩土力学,2006,27(增):1007-1012Tang H,Chen G X,Li F M.Hazard evaluation sys-tem for earthquake-induced site liquefaction potentialbased on coupling model of ANN and GIS[J].Chi-nese Journal of Rock and Soil Mechanics,2006,27(S):1007-1012
[2]陈国兴,李方明.基于径向基函数神经网络模型的砂土液化概率判别方法[J].岩土工程学报,2006,28(3):301-305Chen G X,Li F M.Probabilistic estimation of sandliquefaction based on neural network model of radialbasis function[J].Chinese Journal of GeotechnicalEngineering,2006,28(3):301-305
[3]王靖波,潘懋,张绪定.基于Kriging方法的空间散乱点插值[J].计算机辅助设计与图形学学报,1999,11(6):525-529Wang J B,Pan M,Zhang X D.The kriging interpola-tion method for scattered data points[J].ComputerAided Design and Computer Graphics,1999,11(6):525-529
[4]周小文,付晖,吴昌瑜.地层特性随机场插值方法应用研究[J].岩土力学,2005,26(2):221-224Zhou X W,Fu H,Wu C Y.Application study of spa-tial interpolation method in geological random field[J].Chinese Journal of Rock and Soil Mechanics,2005,26(2):221-224
[5]ESRI Inc.Using ArcGIS Spatial Analyst[Z].ESRIInc.,2002
[6]汤皓,陈国兴.人工神经网络和GIS在城市防震减灾中的应用[J].系统仿真学报,2006,18(增1):352-355Tang H,Chen G X.Application of ANN and GIS tourban seismic prevention and disaster mitigation[J].Journal of System Simulation,2006,18(S1):352-355
[7]汤皓,陈国兴.用ANN模型扩展COMGIS系统的地震灾害模拟仿真功能[J].系统仿真学报,2006,18(增2):587-590+594Tang H,Chen G X.Linking ANN model to extendthe virtual reality and simulation of earthquake-in-duced hazard in COMGIS system[J].Journal of Sys-tem Simulation,2006,18(S2):587-590+594
[8]汤皓,陈国兴,邵进达.基于GIS技术的场地地震液化风险评估系统——初步研究[J].自然灾害学报,2004,13(5):123-127Tang H,Chen G X,Shao J D.Risk-evaluating sys-tem of seismic site liquefaction based on GIS tech-nique:a primary research[J].Journal of Natural Dis-asters,2004,13(5):123-127
[9]汤皓,陈国兴,李方明.基于ANN和GIS耦合模型的场地地震液化势评价系统研究[J].岩土力学,2006,27(增):1007-1012Tang H,Chen G X,Li F M.Hazard evaluation sys-tem for earthquake-induced site liquefaction potentialbased on coupling model of ANN and GIS[J].Chi-nese Journal of Rock and Soil Mechanics,2006,27(S):1007-1012
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