基于ANN和GIS耦合模型的场地地震液化势评价系统研究
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摘要
采用组件式 GIS(COMGIS)技术开发了结合 BP 神经网络分析模型的场地地震液化势评价系统,调用水平成层土地震反应分析程序 SHAKE91实现设定地震下地震动影响场的模拟。在 VB 下调用 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,即液化势等级进行空间复合,给出场地潜在的地层液化势空间分布图。研究表明,SHAKE91应用程序在系统菜单下可直接调用,实现地震动影响场计算的模块化;BP 神经网络技术应用于场地地震液化势评价中能达到较为理想的效果;系统的 GIS 空间分析功能可使评价结果与场地信息进行空间匹配,实现目标场地潜在地震液化势的快速评估。
Component object model GIS (COMGIS) technique is adopted to develop the hazard evaluation system for earthquake-induced site liquefaction potential combined with BP model of artificial neural network (ANN).Firstly,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 BP model of ANN which is modularized under VB by importing ANN toolbox from Matlab.Thus the analytical results from BP model of ANN can be simulated spatially by GIS;and the spatial distribution of site liquefaction potential also can be graphed.The research shows that: First,SHAKE91 software can be called directly from the system menu to simulate the site earthquake influence field.Second,the relatively perfect results can be obtained when the BP model of ANN is utilized to predict the latent hazard of earthquake-induced site liquefaction.Third,by GIS technique,the evaluated results can be perfectly matched with the site information spatially.Thus the critical site liquefaction hazard area can also be identified.
引文
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