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Journal ArticleDOI

Guidelines for Chemical Process Quantitative Risk Analysis: 2nd Edition; By Center for Chemical Process Safety; American Institute of Chemical Engineers, New York, NY, 2000, pp. 750.

Stanley S. Grossel
- 01 Sep 2001 - 
- Vol. 14, Iss: 5, pp 438-439
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This article is published in Journal of Loss Prevention in The Process Industries.The article was published on 2001-09-01. It has received 441 citations till now. The article focuses on the topics: Risk analysis (business) & Process safety.

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Citations
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Methods and models in process safety and risk management: Past, present and future

TL;DR: In this paper, the authors reviewed past progress in the development of methods and models for process safety and risk management and highlighted the present research trends; also it outlines the opinions of the authors regarding the future research direction in the field.
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The assessment of risk caused by domino effect in quantitative area risk analysis.

TL;DR: The results evidenced the relevant modifications of the risk indexes caused by domino effect and the importance of including the quantitative analysis ofDomino effect in QRA, in order to correctly assess and control the risk caused by escalation scenarios.
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Dynamic risk analysis using bow-tie approach

TL;DR: This work is focused on using bow-tie model approach in a dynamic environment in which the occurrence probability of accident consequences changes, and uses Bayes’ theorem to estimate the posterior probability of the consequences which results in an updated risk profile.
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The boiling liquid expanding vapour explosion (BLEVE): mechanism, consequence assessment, management.

TL;DR: An overview of the mechanism, the causes, the consequences, and the preventive strategies associated with BLEVEs is presented.
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Risk analysis for oil & gas pipelines: A sustainability assessment approach using fuzzy based bow-tie analysis

TL;DR: In this article, a fuzzy logic is employed to derive fuzzy probabilities of basic events in fault tree and to estimate fuzzy probabilities ( likelihood ) of output event consequences, which can help professionals to decide whether and where to take preventive or corrective actions and help informed decision-making in the risk management process.
References
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Acceptable risk criteria

TL;DR: A review of work relevant to the identification and use of acceptable risk criteria for risk-based decision-making in engineering, particularly in relation to engineering safety standards, can be found in this article.