Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network
Zinetullina A. Yang M. Khakzad N. Golman B. Li X.
January 2021Elsevier Ltd
Reliability Engineering and System Safety
2021#205
The emergent hazards of chemical process systems cannot be wholly identified and are highly uncertain due to the complicated technical-human-organizational interactions. Under uncertain and unpredictable circumstances, resilience becomes an essential property of a chemical process system that helps it better adapt to disruptions and restore from surprising damages. The resilience assessment needs to be enhanced to identify the accidents root causes on the level of technical-human-organizational interactions, and development of the specific resilience attributes to withstand or recover from the disruptions. The outcomes of resilience assessment are valuable to identify potential design or operational improvements to ensure complex process system functionality and safety. The current study integrates the Functional Resonance Analysis Method and dynamic Bayesian Network for quantitative resilience assessment. The method is demonstrated through a two-phase separator of an acid gas sweetening unit. Aspen Hysys simulator is applied to estimate the failure probabilities needed in the resilience assessment model. The study provides a useful tool for rigorous quantitative resilience analysis of complex process systems on the level of technical-human-organizational interactions.
Chemical process systems , Dynamic Bayesian network , FRAM , Resilience assessment
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Department of Chemical and Materials Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, 010000, Kazakhstan
Safety and Security Science Section, Department of Values, Technology, and Innovation, Faculty of Technology, Policy, and Management, Delft University of Technology, Delft, Netherlands
School of Occupational and Public Health, Ryerson University, Toronto, Canada
School of Resource Engineering, Xian University of Architecture and Technology, No.13 Yanta Road, Xian, 710055, China
Department of Chemical and Materials Engineering
Safety and Security Science Section
School of Occupational and Public Health
School of Resource Engineering
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