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作者:

Han, B. (Han, B..) | Lu, X. (Lu, X..) | Xu, Z. (Xu, Z..) | Li, Y. (Li, Y..)

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摘要:

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.

关键词:

GPU; Parallel computing; Seismic damage simulation; Urban region

作者机构:

  • [ 1 ] [Han, B.]China Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing 100084, China
  • [ 2 ] [Lu, X.]China Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing 100084, China
  • [ 3 ] [Xu, Z.]China Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing 100084, China
  • [ 4 ] [Li, Y.]China Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing 100084, China
  • [ 5 ] [Li, Y.]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, China

通讯作者信息:

  • [Han, B.]China Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing 100084, China

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来源 :

Journal of Natural Disasters

ISSN: 1004-4574

年份: 2012

期: 5

卷: 21

页码: 16-22

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