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CIM-Powered Multi-Hazard Simulation Framework Covering both Individual Buildings and Urban Areas

Author

Listed:
  • Xinzheng Lu

    (Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing 100084, China)

  • Donglian Gu

    (Beijing Engineering Research Center of Steel and Concrete Composite Structures, Tsinghua University, Beijing 100084, China)

  • Zhen Xu

    (School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Chen Xiong

    (Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen University, Shenzhen 518060, China)

  • Yuan Tian

    (Beijing Engineering Research Center of Steel and Concrete Composite Structures, Tsinghua University, Beijing 100084, China)

Abstract

To improve the ability to prepare for and adapt to potential hazards in a city, efforts are being invested in evaluating the performance of the built environment under multiple hazard conditions. An integrated physics-based multi-hazard simulation framework covering both individual buildings and urban areas can help improve analysis efficiency and is significant for urban planning and emergency management activities. Therefore, a city information model-powered multi-hazard simulation framework is proposed considering three types of hazards (i.e., earthquake, fire, and wind hazards). The proposed framework consists of three modules: (1) data transformation, (2) physics-based hazard analysis, and (3) high-fidelity visualization. Three advantages are highlighted: (1) the database with multi-scale models is capable of meeting the various demands of stakeholders, (2) hazard analyses are all based on physics-based models, leading to rational and scientific simulations, and (3) high-fidelity visualization can help non-professional users better understand the disaster scenario. A case study of the Tsinghua University campus is performed. The results indicate the proposed framework is a practical method for multi-hazard simulations of both individual buildings and urban areas and has great potential in helping stakeholders to assess and recognize the risks faced by important buildings or the whole city.

Suggested Citation

  • Xinzheng Lu & Donglian Gu & Zhen Xu & Chen Xiong & Yuan Tian, 2020. "CIM-Powered Multi-Hazard Simulation Framework Covering both Individual Buildings and Urban Areas," Sustainability, MDPI, vol. 12(12), pages 1-28, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:5059-:d:374522
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    References listed on IDEAS

    as
    1. Xiaoping Rui & Shan Hui & Xuetao Yu & Guangyuan Zhang & Bin Wu, 2018. "Forest fire spread simulation algorithm based on cellular automata," 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. 91(1), pages 309-319, March.
    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. Aiko Furukawa & Yutaka Ohta, 2009. "Failure process of masonry buildings during earthquake and associated casualty risk evaluation," 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. 49(1), pages 25-51, April.
    Full references (including those not matched with items on IDEAS)

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