Seismic damage simulation for urban buildings based on high-performance GPU computing

Bo Han, Xinzheng Lu, Zhen Xu, Yi Li
Department of civil engineering, China Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Tsinghua University
14th Int. Conference on Computing in Civil and Building Engineering, 2012

   title={Seismic damage simulation for urban buildings based on high-performance GPU computing},

   author={Han, B. and Lu, X. and Xu, Z. and Li, Y.},



Download Download (PDF)   View View   Source Source   



Refined models have been an important development trend of urban regional seismic damage prediction. However, the application of refined models has been limited due to their high computational cost if implemented on traditional Central Processing Unit (CPU) platforms. In recent years, Graphics Processing Unit (GPU) technology has been developed and applied rapidly due to its powerful parallel computing capability and low cost. In this paper, a simulation method for urban regional seismic damage is developed based on GPU-CPU cooperative computing technology, which reduces the computing time significantly. The seismic damage simulation is then applied to a medium-sized city using the proposed method to illustrate the unique advantages of GPU technology in large-scale regional seismic damage simulations.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

TwitterAPIExchange Object
    [oauth_access_token:TwitterAPIExchange:private] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
    [oauth_access_token_secret:TwitterAPIExchange:private] => o29ji3VLVmB6jASMqY8G7QZDCrdFmoTvCDNNUlb7s
    [consumer_key:TwitterAPIExchange:private] => TdQb63pho0ak9VevwMWpEgXAE
    [consumer_secret:TwitterAPIExchange:private] => Uq4rWz7nUnH1y6ab6uQ9xMk0KLcDrmckneEMdlq6G5E0jlQCFx
    [postfields:TwitterAPIExchange:private] => 
    [getfield:TwitterAPIExchange:private] => ?cursor=-1&screen_name=hgpu&skip_status=true&include_user_entities=false
    [oauth:protected] => Array
            [oauth_consumer_key] => TdQb63pho0ak9VevwMWpEgXAE
            [oauth_nonce] => 1477074147
            [oauth_signature_method] => HMAC-SHA1
            [oauth_token] => 301967669-yDz6MrfyJFFsH1DVvrw5Xb9phx2d0DSOFuLehBGh
            [oauth_timestamp] => 1477074147
            [oauth_version] => 1.0
            [cursor] => -1
            [screen_name] => hgpu
            [skip_status] => true
            [include_user_entities] => false
            [oauth_signature] => yMg4BZ14X6P0tfDrGOQkbRsksus=

    [url] => https://api.twitter.com/1.1/users/show.json
Follow us on Facebook

HGPU group © 2010-2016 hgpu.org

All rights belong to the respective authors

Contact us: