Relative risk model for assessing domino effect in chemical process industry

2016 ◽  
Vol 87 ◽  
pp. 156-166 ◽  
Author(s):  
Zi-jian Ni ◽  
Yanzhang Wang ◽  
Zhigang Yin
2013 ◽  
Vol 321-324 ◽  
pp. 2456-2459
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu

The hazard of chemical process equipment consists of two parts: the inherent hazard of process equipment and the hazard from domino effect among equipments. The inherent hazard of equipment depends on the properties of the substance present in the equipment and the specific process conditions. The domino effect is responsibility for many most destructive accidents in the chemical process industry. However, domino effect is either not considered at all or is done with much less rigour than is warranted. A method was proposed to evaluate the hazard of chemical process equipment. The inherent hazard and the hazard from domino effect were considered in the method. The procedure for the domino effect analysis among equipments was presented to evaluate the hazard from the domino effect. The method was implemented in a case study. The results show that it can be used to select the process equipment which should be intensive monitored.


2013 ◽  
Vol 319 ◽  
pp. 536-540
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu

Accidents caused by the domino effect are the most destructive accidents in the chemical process industry. These chains of accidents may lead to catastrophic consequences and may affect not only the industrial sites, but also people, environment and economy. However, quantitative risk assessments do not usually take the domino effect into account in a detailed, systematic way, mostly because of its complexity and the difficulties involved in its incorporation. A method for quantitative assessment of domino effects is presented. The consequence and probability of a certain accident can be estimated. The domino sequences from the initial accident to the last accident can be obtained. The method has been implemented in a case study. The results show that it can indeed be used to estimate the impact of the domino effect in quantitative assessment.


2010 ◽  
Vol 182 (1-3) ◽  
pp. 416-426 ◽  
Author(s):  
Bahman Abdolhamidzadeh ◽  
Tasneem Abbasi ◽  
D. Rashtchian ◽  
S.A. Abbasi

2015 ◽  
Vol 3 (6) ◽  
pp. 481-498
Author(s):  
Jun Wu ◽  
Hui Yang ◽  
Yuan Cheng

AbstractDomino effect is a fairly common phenomenon in process industry accidents, which makes many process industry accidents serious and the consequent losses enhanced. Domino effect of the major accidents in chemical cluster is emphasized. Many researchers have studied domino effect in chemical clusters from different perspectives. In the review, we summarize the research from three aspects: The statistical analysis of domino accidents in chemical process industry, the evaluation of domino accidents and the prevention of domino accidents in chemical clusters by game theory. From the analysis, we can find the characteristic of domino accidents such as the time and the location, the origin and causes of domino accidents. The methods of assessing domino effects such as quantitative risk assessment (QRA), Bayesian networks (BN) and Monte Carlo simulation (MCS) are analyzed. The prevention of domino accidents in chemical clusters using game theory is seldom, and there is still much space for improvement in enterprises’ efforts to prevent risk of domino accidents.


Alloy Digest ◽  
2004 ◽  
Vol 53 (7) ◽  

Abstract ATI 425 was originally developed for hot-rolled armor plate to provide ballistic protection comparable to Ti-6Al-4V and has been evaluated against a variety of projectile threats for use as armor. While processing the alloy for armor plate applications, it was observed that the material exhibited very good hot workability, permitting a more lenient window of processing parameters than necessary for Ti-6Al-4V. Versatility then expanded, and applications now exist in the chemical process industry (CPI) and in the aerospace industry. This datasheet provides information on composition, physical properties, and tensile properties as well as fracture toughness and fatigue. It also includes information on corrosion resistance. Filing Code: TI-133. Producer or source: ATI Wah Chang, Allegheny Technologies. Originally published March 2004, revised July 2004.


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