Management of quantitative risk assessment in the chemical process industry

1990 ◽  
Vol 9 (4) ◽  
pp. 262-268 ◽  
Author(s):  
J. S. Arendt
Keyword(s):  
Risk Assessment ◽  
Chemical Process ◽  
Process Industry ◽  
Quantitative Risk Assessment ◽  
Chemical Process Industry

scholarly journals Domino Effect Analysis, Assessment and Prevention in Process Industries

2015 ◽  
Vol 3 (6) ◽  
pp. 481-498
Author(s):  
Jun Wu ◽  
Hui Yang ◽  
Yuan Cheng
Keyword(s):  
Risk Assessment ◽  
Game Theory ◽  
Chemical Process ◽  
Process Industry ◽  
Quantitative Risk Assessment ◽  
Common Phenomenon ◽  
Domino Effect ◽  
Process Industries ◽  
Effect Analysis ◽  
Chemical Process Industry

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.

A Model for the Domino Effect Analysis in Quantitative Risk Assessment

2013 ◽  
Vol 328 ◽  
pp. 314-317
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu
Keyword(s):  
Risk Assessment ◽  
Quantitative Methods ◽  
Process Industry ◽  
Quantitative Risk Assessment ◽  
Domino Effect ◽  
Effect Analysis ◽  
Chemical Process Industry ◽  
Industrial Sites ◽  
Event Trees

The domino effect is responsibility for many most destructive accidents in the chemical process industry. The catastrophic consequences are not only affecting the industrial sites, but also people and environment. However, quantitative methods which take in to account the domino effect are still missing. A model for quantitative assessment of the domino effect is presented. The probabilities of occurrence are obtained by the event trees. The frequencies of different accidents can be obtained by applying the proposed method. The results of the case study show that the domino effect should be taken into account in quantitative risk assessment (QRA).

ATI 425

Alloy Digest ◽  
2004 ◽  
Vol 53 (7) ◽  
Keyword(s):  
Fracture Toughness ◽  
Chemical Process ◽  
Aerospace Industry ◽  
Processing Parameters ◽  
Process Industry ◽  
Hot Workability ◽  
Chemical Process Industry ◽  
Armor Plate ◽  
Ballistic Protection ◽  
Hot Rolled

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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