The Quantitative Risk Assessment of domino effect on Industrial Plants Using Colored Stochastic Petri Nets

Farid Kadri (1) , Patrick Lallement (1) , Eric Chatelet (1)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes

The accidents caused by the domino effect are those that cause the most catastrophic damage. The consequences of the damage caused are at various levels and may not only affect the industrial sites (activities, importance), but also people, environment and economy. The fire is among the most frequent primary accidents for a domino effect sequence, due to the installations/equipments under pressure, and the storage of flammable and dangerous substances, storage areas being the most probable starters of a domino effect. Heat radiation generated by fire is one of major factor leading to domino effects on industrial/storage sites and likely to lead to damage and serious consequences for equipments, facilities, staff, buildings, and environment. In the last decade, the available methodologies for the assessment of domino effects are mainly based on the probit models. This paper develops a new methodology for the quantitative assessment of domino effect caused by heat radiation to process equipments and/or storage vessels in industrial sites using a Colored Stochastic Petri Nets model.

Mots clés: Storage areas; Domino effect; Risk assessment; Storage areas.; Stochastic Petri Net

Domaines: Modélisation et simulation

Farid Kadri, Patrick Lallement, Eric Chatelet. The Quantitative Risk Assessment of domino effect on Industrial Plants Using Colored Stochastic Petri Nets. PSAM11 & ESREL2012, Jun 2012, Helsinki, Russia. pp.898-907. ⟨hal-01002863v2⟩