Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/342290
Type: Artigo
Title: Probabilistic modeling of failure domino effects in chemical plants
Author: Sierra, D.
Briceño, J.
Buitrago, H.
Rozo, B.
Montecchi, L.
Mura, I.
Abstract: Chemical process plants are subject to risk caused by the handling and storage of hazardous substances. Major accidents may occur, particularly in those unfortunate circumstances when a triggering event produces a cascading accident that propagates to other units, a failure propagation scenario known as domino effect. An important aspect of designing such industrial plants is to properly arrange hazardous equipment such that, in the event of failures, cascading effects are minimized. In this work, we present a modeling approach to perform a probabilistic analysis of the likelihood of domino effects caused by propagating vapor cloud explosions. The approach combines the modeling of accident propagation based on physical properties of gas clouds, such as released mass and explosion distance, with the probabilistic modeling of cascading effects based on Stochastic Petri Nets. The proposed methodology is subsequently applied to a case study where different layouts of atmospheric gasoline tanks are analyzed, in order to evaluate the likelihood of domino effect occurrence.
Subject: Química vegetal
Redes de petri
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/LADC.2018.00016
Address: https://ieeexplore.ieee.org/document/8671638
Date Issue: 2019
Appears in Collections:IC - Artigos e Outros Documentos

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