Energy-based coupling risk assessment (CRA) model for urban underground utility tunnels

被引:9
作者
Bai, Yiping [1 ]
Wu, Jiansong [1 ]
Liu, Kunqi [1 ]
Sun, Yuxin [1 ]
Shen, Siyao [1 ]
Cao, Jiaojiao [1 ]
Cai, Jitao [1 ]
机构
[1] China Univ Min & Technol Beijing, Sch Emergency Management & Safety Engn, Beijing, Peoples R China
关键词
Quantitative risk assessment (QRA); Coupling risk assessment (CRA); Energy out -of -control; Utility tunnel; Coupling effect; Synergistic effect;
D O I
10.1016/j.ress.2024.110255
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As a kind of highly integrated urban critical infrastructure, the urban underground utility tunnel hosts various pipelines to facilitate the city life. But the integration of hazardous pipelines like natural gas pipelines and electric cables inside a confined infrastructure also brings emerging risks due to coupling effect, which have not been systematically analysed by the existing method. So, there is an essential need for a coupling risk assessment (CRA) model to tackle coupling effects and corresponding coupling accidents in utility tunnels quantitatively. A clear definition and classification of coupling effect, synergistic effect, and cascading effect are proposed in this work. By introducing the energy transfer and out-of-control theory, it is feasible to identify interacted hazards systematically and coupling accidents in utility tunnels. Natural gas explosion, cable fire, and rain-triggered ponding are identified as typical coupling accidents to perform CRA. The results indicate that the risks of the 3 coupling accidents are considerable, and fatality is possible in the case of gas explosion and ponding. It can be concluded that the current firefighting systems and drainage systems are not sufficient for risk mitigation of utility tunnels with coupling effect.
引用
收藏
页数:14
相关论文
共 56 条
[51]   EnKF-based estimation of natural gas release and dispersion in an underground tunnel [J].
Yuan, Shuaiqi ;
Wu, Jiansong ;
Zhang, Xiaole ;
Liu, Wenyu .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2019, 62
[52]   An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation [J].
Zhang, Pei ;
Zhang, Zhen-Ji ;
Gong, Da-Qing .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 244
[53]   从郑州“2021.7.20”水灾模型推演看城市洪涝风险管理 [J].
章卫军 ;
廖青桃 ;
杨森 ;
张馨匀 ;
张晨玲 ;
向美焘 ;
雷征旻 .
中国防汛抗旱, 2021, 31 (09) :1-4
[54]   Fire risk analysis and prevention of urban comprehensive pipeline corridor [J].
Zhang, Xing-hui ;
Guan, Yu-xi ;
Fang, Zheng ;
Liao, Yu-fan .
2015 INTERNATIONAL CONFERENCE ON PERFORMANCE-BASED FIRE AND FIRE PROTECTION ENGINEERING (ICPFFPE 2015), 2016, 135 :463-468
[55]   Risk assessment method combining complex networks with MCDA for multi-facility risk chain and coupling in UUS [J].
Zhao, Han ;
Li, Zheng ;
Zhou, Rui .
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2022, 119
[56]   Integrating FBN and FDS for quantitative risk assessment of cable fire in utility tunnel [J].
Zhu, Xiaoping ;
Wu, Jiansong ;
Bai, Yiping ;
Wang, Dong ;
Zhang, Jun .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2024, 88