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Seismic damage simulation in urban areas based on a high-fidelity structural model and a physics engine

Author

Listed:
  • Zhen Xu
  • Xinzheng Lu
  • Hong Guan
  • Bo Han
  • Aizhu Ren

Abstract

Effective seismic damage simulation is an important task in improving earthquake resistance and safety of dense urban areas. There exist two significant technical challenges for realizing such a simulation: accurate prediction and realistic display. A high-fidelity structural model is proposed herein to accurately predict the seismic damage that was inflicted on a large number of buildings in an urban area via time-history analysis, with which the local damage to different building stories is also explicitly obtained. The accuracy and efficiency of the proposed model are validated by a refined finite element analysis of a typical building. A physics engine-based algorithm is also proposed that realistically displays building collapse, thus overcoming the limitations of the high-fidelity structural model. Furthermore, a visualization system integrating the proposed model and collapse simulation is developed so as to completely display the seismic damage in detail. Finally, the simulated seismic damage of a real medium-sized Chinese city is evaluated to demonstrate the advantages of the proposed techniques, which can provide critically important reference information for urban disaster prevention and mitigation. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Zhen Xu & Xinzheng Lu & Hong Guan & Bo Han & Aizhu Ren, 2014. "Seismic damage simulation in urban areas based on a high-fidelity structural model and a physics engine," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1679-1693, April.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:3:p:1679-1693
    DOI: 10.1007/s11069-013-0972-8
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    References listed on IDEAS

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    1. H. Duzgun & M. Yucemen & H. Kalaycioglu & K. Celik & S. Kemec & K. Ertugay & A. Deniz, 2011. "An integrated earthquake vulnerability assessment framework for urban areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(2), pages 917-947, November.
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    Cited by:

    1. Zhen Xu & Xinzheng Lu & Hong Guan & Yuan Tian & Aizhu Ren, 2016. "Simulation of earthquake-induced hazards of falling exterior non-structural components and its application to emergency shelter design," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 935-950, January.
    2. Xiang Zeng & Xinzheng Lu & T. Y. Yang & Zhen Xu, 2016. "Application of the FEMA-P58 methodology for regional earthquake loss prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 177-192, August.
    3. Elmira Jamei & Michael Mortimer & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski, 2017. "Investigating the Role of Virtual Reality in Planning for Sustainable Smart Cities," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
    4. Zhongqi Shi & Rumian Zhong & Nan Jin, 2022. "Seismic Damage Identification of Composite Cable-Stayed Bridges Using Support Vector Machines and Wavelet Networks," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    5. Zhen Xu & Xinzheng Lu & Hong Guan & Yuan Tian & Aizhu Ren, 2016. "Simulation of earthquake-induced hazards of falling exterior non-structural components and its application to emergency shelter design," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 935-950, January.

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