汤皓, 陈国兴. 基于GIS和神经网络模型的场地地震液化势风险评价[J]. 武汉大学学报 ( 信息科学版), 2007, 32(8): 727-730.
引用本文: 汤皓, 陈国兴. 基于GIS和神经网络模型的场地地震液化势风险评价[J]. 武汉大学学报 ( 信息科学版), 2007, 32(8): 727-730.
TANG Hao, CHEN Guoxing. GIS and ANN Model Applied in Risk Evaluation of Earthquake-Induced Site Liquefaction Potential[J]. Geomatics and Information Science of Wuhan University, 2007, 32(8): 727-730.
Citation: TANG Hao, CHEN Guoxing. GIS and ANN Model Applied in Risk Evaluation of Earthquake-Induced Site Liquefaction Potential[J]. Geomatics and Information Science of Wuhan University, 2007, 32(8): 727-730.

基于GIS和神经网络模型的场地地震液化势风险评价

GIS and ANN Model Applied in Risk Evaluation of Earthquake-Induced Site Liquefaction Potential

  • 摘要: 基于组件式GIS(COMGIS)技术,调用水平成层土地震反应分析程序SHAKE91来实现设定地震下地震动影响场的模拟;调用Matlab神经网络工具箱来完成场地地震液化势评价模型在COMGIS系统中的模块化;利用GIS技术对评价结果进行空间复合,给出场地潜在的地层液化势空间分布图。

     

    Abstract: Based on COMGIS(component object model GIS) technique,the simulation of site earthquake influence field under scenario earthquake can be generated by calling SHAKE91,a commercial program to analyze seismic response of level layered site.Then,seismic hazard for sandy soil liquefaction can be evaluated by ANN(artificial neural network) model which is modularized under VB by importing ANN toolbox from Matlab.There,the analytic results from ANN model can be simulated spatially by GIS,and the spatial distribution of site liquefaction potential also can be graphed.

     

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