The complexity of domino scenarios represented a considerable obstacle to the quantitative assessment of risk posed by escalation events. In the present chapter, the state of the art concerning quantitative approaches proposed for the assessment of risk caused by domino accidents is summarized. A procedure for the quantitative risk assessment of domino accidents, suitable for the calculation of individual and societal risk indexes, is outlined. Alternative approaches proposed for the quantitative assessment of domino effects, based on Bayesian techniques and Monte Carlo simulations, are also described.
The analysis of domino escalation scenarios is a complex task. The use of advanced distributed parameter models may provide a significant contribution to domino effect escalation assessment. Nevertheless, this approach requires a detailed description of equipment geometry and the characterization of the primary scenarios leading to the escalation. This chapter is aimed at presenting the potentialities of the distributed parameters codes for the specific assessment of domino accidents triggered by fire and overpressure by the analysis of specific case studies.
The analysis of domino escalation scenarios is a complex task. The use of advanced distributed parameter models may provide a significant contribution to domino effect escalation assessment. Nevertheless, this approach requires a detailed description of equipment geometry and the characterization of the primary scenarios leading to the escalation. This chapter is aimed at presenting the potentialities of the distributed parameters codes for the specific assessment of domino accidents triggered by fire and overpressure by the analysis of specific case studies.
The complexity of domino scenarios represented a considerable obstacle to the quantitative assessment of risk posed by escalation events. In the present chapter, the state of the art concerning quantitative approaches proposed for the assessment of risk caused by domino accidents is summarized. A procedure for the quantitative risk assessment of domino accidents, suitable for the calculation of individual and societal risk indexes, is outlined. Alternative approaches proposed for the quantitative assessment of domino effects, based on Bayesian techniques and Monte Carlo simulations, are also described.
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