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Accident modelling and analysis in process industries
Al-shanini, A and Ahmad, A and Khan, FI, Accident modelling and analysis in process industries, Journal of Loss Prevention in the Process Industries, 32 pp. 319-334. ISSN 0950-4230 (2014) [Refereed Article]
© 2014 Elsevier Ltd. All rights reserved.
Accident modelling is a methodology used to relate the causes and effects of events that lead to accidents. This modelling effectively seeks to answer two main questions: (i) Why does an accident occur, and (ii) How does it occur. This paper presents a review of accident models that have been developed for the chemical process industry with in-depth analyses of a class of models known as dynamic sequential accident models (DSAMs). DSAMs are sequential models with a systematic procedure to utilise precursor data to estimate the posterior risk profile quantitatively. DSAM also offers updates on the failure probabilities of accident barriers and the prediction of future end states. Following a close scrutiny of these methodologies, several limitations are noted and discussed, and based on these insights, future work is suggested to enhance and improve this category of models further.
|Item Type:||Refereed Article|
|Keywords:||accident modelling, dynamic risk assessment, dynamic sequential accident models, precursor data, accident models, dynamic risk assessments, in-process, modelling and analysis, precursor data|
|Research Group:||Engineering practice and education|
|Research Field:||Risk engineering|
|Objective Division:||Expanding Knowledge|
|Objective Group:||Expanding knowledge|
|Objective Field:||Expanding knowledge in engineering|
|UTAS Author:||Khan, FI (Professor Faisal Khan)|
|Web of Science® Times Cited:||53|
|Deposited By:||NC Maritime Engineering and Hydrodynamics|
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