Investigation of multiple domino scenarios caused by fragments. (March 2016)

• Record Type: Journal Article
• Authors: Sun, Dongliang; Jiang, Juncheng; Zhang, Mingguang; Wang, Zhirong; Zhang, Yinian; Cai, Liwei
• Is Part Of: Journal of loss prevention in the process industries. Volume 40(2016:Mar.)
• Page Start: 591
• Page End: 602
• Publication Date: 2016-03
• Subjects: Risk assessment -- Multiple domino scenarios -- Industrial explosion -- Fragments; Chemical industries -- Safety measures -- Periodicals; 660.2804
• DOI: 10.1016/j.jlp.2016.01.023
• Languages: English
• ISSNs: 0950-4230

Abstract

Abstract: A model of multiple domino scenarios and the risk of the domino effect, which is a sequential chain escalating from the primary unit to the last unit, is presented in this paper. The trajectories of fragments from all units, the ground distribution of projectiles, and the risk of the sequential chain of the domino effect were calculated using Monte Carlo simulations. The results showed that the range affected by the fragments from each tank included the other tanks, meaning that fragments from one tank could hit the other tanks and cause multiple accidents, and that the sequential chain of the domino effect could indeed happen. The distributions of ground impacts showed that tank fragments were projected over long distances, up to 1200 m from the source. The spatial distribution of the kinetic energy at ground impact for tank fragments was also obtained. Moreover, the magnitudes of the probabilities of the primary, secondary, third, and fourth accidents in the domino chain were respectively about 10 −7, 10 −11, 10 −15, and 10 −19 . These results showed that for neighboring domino effect units in the same accident chain, the risk of the most recent domino effect was 10 4 times that of the following domino effect. Highlights: The mode of multiple domino scenarios was proposed. The domino effect risk of the sequent chain was proposed. The magnitude of the domino chain were respectively 10 −7, 10 −11, 10 −15 and 10 −19 . The risk of the last domino effect was 10 4 times that of the next domino effect.