TY - JOUR
T1 - Assessment of tanks vulnerability and domino effect analysis in chemical storage plants
AU - Jiang, Dai
AU - Pan, Xu Hai
AU - Hua, Min
AU - Mébarki, Ahmed
AU - Jiang, Jun Cheng
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
KW - Accident
KW - Assessment method
KW - Bayesian network
KW - Domino effect
KW - Vulnerability
UR - http://www.scopus.com/inward/record.url?scp=85065212894&partnerID=8YFLogxK
U2 - 10.1016/j.jlp.2019.04.016
DO - 10.1016/j.jlp.2019.04.016
M3 - 文章
AN - SCOPUS:85065212894
SN - 0950-4230
VL - 60
SP - 174
EP - 182
JO - Journal of Loss Prevention in the Process Industries
JF - Journal of Loss Prevention in the Process Industries
ER -