Assessment of tanks vulnerability and domino effect analysis in chemical storage plants

被引:32
作者
Jiang, Dai [1 ,2 ]
Pan, Xu-Hai [1 ,2 ]
Hua, Min [1 ,2 ]
Mebarki, Ahmed [3 ]
Jiang, Jun-Cheng [1 ,2 ]
机构
[1] Nanjing Tech Univ, Coll Safety Sci & Engn, Nanjing 210009, Jiangsu, Peoples R China
[2] Nanjing Tech Univ, Jiangsu Key Lab Hazardous Chem Safety & Control, Nanjing 210009, Jiangsu, Peoples R China
[3] Univ Paris Est, MSME UMR CNRS 8208, Lab Modelisat & Simulat Multi Echelle, 5 Blvd Descartes, F-77454 Marne La Vallee 2, France
基金
国家自然科学基金重大项目;
关键词
Accident; Domino effect; Vulnerability; Assessment method; Bayesian network; STRUCTURAL FRAGMENTS; RESILIENCE; PROBABILITY; EXPLOSIONS; ACCIDENTS; SAFETY; IMPACT;
D O I
10.1016/j.jlp.2019.04.016
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
safety and security in chemical industrial plants require special attention due to the related concentrated hazards. Actually, primary accidents such as fire and explosions, can escalate into domino effects in the storage tanks depending on the relative distance between tanks, the flammability and explosiveness of the stored material, the fragility to structural defects of the surrounding tank etc. Therefore, reducing the probability of domino effect within an industrial area has become a crucial concern in industrial risk analysis and assessment. The present paper redefines the vulnerability of tanks in the case of domino effect and creates the formation mechanism and evaluation model of multiple accident coupling scenarios. Based on the occurrence, propagation and influence of the primary accident (single accident or multi-accident scenario) and the fusion of matter element extension theory, entropy weight method, complex network model, TOPSIS (technique for order preference by similarity to ideal solution) model and risk matrix, the weight I, weight II of evaluation index and the evaluation system are established which can determine easily the vulnerability level of tanks. For illustrative purposes, the application of Bayesian method indicated that the global site probability of failure (i.e. the failure of the surrounding tanks, after a first sequence accident) can be reduced by removing the most vulnerable tanks, which confirms the effectiveness of the assessment method.
引用
收藏
页码:174 / 182
页数:9
相关论文
共 28 条
[21]   Natural hazards, vulnerability and structural resilience: tsunamis and industrial tanks [J].
Mebarki, Ahmed ;
Jerez, Sandra ;
Prodhomme, Gaetan ;
Reimeringer, Mathieu .
GEOMATICS NATURAL HAZARDS & RISK, 2016, 7 :5-17
[22]   Integrated probabilistic framework for domino effect and risk analysis [J].
Nguyen, Q. B. ;
Mebarki, A. ;
Saada, R. Ami ;
Mercier, F. ;
Reimeringer, M. .
ADVANCES IN ENGINEERING SOFTWARE, 2009, 40 (09) :892-901
[23]  
Nguyen Q.B., 2008, INT J SIMUL MULTIDIS, V2, P119, DOI [10.1051/smdo:2008016, DOI 10.1051/SMDO:2008016]
[24]   Predicting the frequency of accidents in port areas by developing event trees from historical analysis [J].
Ronza, A ;
Félez, S ;
Darbra, RM ;
Carol, S ;
Vílchez, JA ;
Casal, J .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2003, 16 (06) :551-560
[25]   Influence of the source size on domino effect risk caused by fragments [J].
Sun, Dongliang ;
Jiang, Juncheng ;
Zhang, Mingguang ;
Wang, Zhirong .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2015, 35 :211-223
[26]   A matter-element method for risk identification of technology innovation [J].
Xiao Q. .
International Journal of System Assurance Engineering and Management, 2018, 9 (03) :716-728
[27]   The probability prediction method of domino effect triggered by lightning in chemical tank farm [J].
Yang, Yunfeng ;
Chen, Guohua ;
Chen, Peizhu .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2018, 116 :106-114
[28]  
[张国华 ZHANG Guohua], 2009, [电力自动化设备, Electric Power Automation Equipment], V29, P21