A Data-Driven Danger Zone Estimation Method Based on Bayesian Inference for Utility Tunnel Fires and Experimental Verification

Author:

Liu Xiaojiang1,Sun Bin2,Xu Zhao-Dong3,Liu Xuanya4,Xu Dajun5

Affiliation:

1. Ph.D. Candidate, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 210096, China.

2. Associate Professor, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 210096, China.

3. Professor, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 210096, China (corresponding author).

4. Research Fellow, Engineering Fire Research Laboratory, Tianjin Fire Research Institute of Ministry of Emergency Management, Tianjin 300381, China.

5. Associate Research Fellow, Engineering Fire Research Laboratory, Tianjin Fire Research Institute of Ministry of Emergency Management, Tianjin 300381, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Reference51 articles.

1. Hazard identification and analysis of urban utility tunnels in China

2. CS (Chinese Standard). 2015. Technical code for urban utility tunnel engineering. [In Chinese.] GB50838-2015. Beijing: National Standard of the People's Republic of China.

3. CS (Chinese Standard). 2017. Technical standard for supervision and alarm system engineering of urban utility tunnel. [In Chinese.] GB/T 51274-2017. Beijing: National Standard of the People's Republic of China.

4. CS (Chinese Standard). 2020. Specifications for operation service of urban utility tunnel. [In Chinese.] GB/T 38550-2020. Beijing: National Standard of the People's Republic of China.

5. Optimal design of tuned mass damper inerter with a Maxwell element for mitigating the vortex-induced vibration in bridges

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