基于高性能GPU计算的城市建筑群震害模拟
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摘要
为适应不断提高的震害预测需求,精细化模型已经成为城市区域震害预测的主要发展方向。然而传统的基于CPU平台的计算方法成本过高,使得精细化模型的应用受限。近年来,GPU技术由于其强大的并行计算能力和较为低廉的价格优势,在通用计算领域得到了快速的发展和应用。基于GPU-CPU协同计算技术,建立了城市区域震害的计算模拟方法,显著缩短了城市区域震害预测的时间。并采用该方法对某中型城市的真实震害进行了模拟应用,展示了GPU技术在大区域城市建筑群震害模拟中的独特优势。
To meet the continuously increased needs for seismic damage prediction,refined models have become an important development trend in urban regional seismic damage prediction.However,the application of refined models is limited by the high cost of computation if it is implemented on traditional CPU platform.In recent years,a technology with powerful parallel computing capability and lower cost,GPU technology,has been developed and applied rapidly.In this paper,a simulating method for urban regional seismic damage that can significantly reduce the computation time,was developed based on GPU-CPU cooperative computing technology.The proposed method was then applied to the seismic damage simulation of a medium-sized city to illustrate the unique advantages of GPU technology in large-scale regional seismic damage simulation.
To meet the continuously increased needs for seismic damage prediction,refined models have become an important development trend in urban regional seismic damage prediction.However,the application of refined models is limited by the high cost of computation if it is implemented on traditional CPU platform.In recent years,a technology with powerful parallel computing capability and lower cost,GPU technology,has been developed and applied rapidly.In this paper,a simulating method for urban regional seismic damage that can significantly reduce the computation time,was developed based on GPU-CPU cooperative computing technology.The proposed method was then applied to the seismic damage simulation of a medium-sized city to illustrate the unique advantages of GPU technology in large-scale regional seismic damage simulation.
引文
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[2]胡宝生,徐祥文.展望建筑物震害预测的发展方向[J].世界地震工程1995,(3):33-38.HU Baosheng,XU Xiangwen.Look forward to developmental direction of predicting earthquake damage to buildings[J].World Information OnEarthquake Engineering,1995(3):33-38.
[3]Hori M,Ichimura T.Current state of integrated earthquake simulation for earthquake hazard and disaster[J].Journal of Seismology,2008(2):307～321.
[4]陈序平.基于GIS CAD和VR技术的城市地震仿真系统[D].北京:清华大学,2007.CHEN Xuping.An Urban Earthquake Simulation System Based on GIS CAD and VR Technology[D].Beijing:Tsinghua University,2007.
[5]李波,赵华成,张敏芳.CUDA高性能计算并行编程[J].微型电脑应用,2009(9):55-57,64,69.LI Bo,ZHAO Huacheng,ZHANG Minfang.Parallel programming for high-performance computing on CUDA[J].Microcomputer Applications,2009(9):55-57,64,69.
[6]吴恩华,柳有权.基于图形处理器(GPU)的通用计算[J].计算机辅助设计与图形学学报,2004,16(5):601-612.WU Enhua,LIU Youquan.General purpose computation on GPU[J].Journal of Computer Aided Design&Computer Graphics,2004,16(5):601-612.
[7]张朝晖,刘俊起,徐勤建.GPU并行计算技术分析与应用[J].信息技术,2009(11):86-89.ZHANG Chaohui,LIU Junqi,XU Qinjian.Analysis and application of the GPU parallel computing technology[J].Information Technology,2009(11):86-89.
[8]陆新征,叶列平,缪志伟,等.建筑抗震弹塑性分析——原理、模型与在ABAQUS,MSC.MARC和SAP2000上的实践[M].北京:中国建筑工业出版社,2009:18-25.LU Xinzheng,YE Lieping,LIAO Zhiwei,et al.Elasto-plastic Analysis of Buildings Against Earthquake—theory,Model and Implementation onABAQUS,MARC AND SAP2000.[M].Beijing:China Architecture&Building Press,2009:18-25.
[9]Xu F,Chen X P,Ren A Z,et al.Earthquake disaster simulation for an urban area,with GIS,CAD,FEA and VR integration[J].Tsinghua Sci-ence and Technology,2008(S1):311-316.
[10]Chopra A K.Dynamics of Structures:Theory and Applications to Earthquake Engineering[M].New Jersey:Prentice-Hall,2001:171-174.
[11]NVIDIA,NVIDIA CUDA Programming Guide[EB/OL].(2011-11-18)[2011-12-01].http://developer.download.nvidia.com/com-pute/DevZone/docs/html/C/doc/CUDA_C_Programming_Guide.pdf.
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