Delvosalle Christian, Fievez Cécile, Pipart Aurore, Debray Bruno
Faculté Polytechnique de Mons, Major Risk Research Centre, 56 rue de l'épargne, 7000 Mons, Belgium.
J Hazard Mater. 2006 Mar 31;130(3):200-19. doi: 10.1016/j.jhazmat.2005.07.005. Epub 2005 Aug 26.
In the frame of the Accidental Risk Assessment Methodology for Industries (ARAMIS) project, this paper aims at presenting the work carried out in the part of the project devoted to the definition of accident scenarios. This topic is a key-point in risk assessment and serves as basis for the whole risk quantification. The first result of the work is the building of a methodology for the identification of major accident hazards (MIMAH), which is carried out with the development of generic fault and event trees based on a typology of equipment and substances. The term "major accidents" must be understood as the worst accidents likely to occur on the equipment, assuming that no safety systems are installed. A second methodology, called methodology for the identification of reference accident scenarios (MIRAS) takes into account the influence of safety systems on both the frequencies and possible consequences of accidents. This methodology leads to identify more realistic accident scenarios. The reference accident scenarios are chosen with the help of a tool called "risk matrix", crossing the frequency and the consequences of accidents. This paper presents both methodologies and an application on an ethylene oxide storage.
在工业意外风险评估方法（ARAMIS）项目框架内，本文旨在介绍该项目中致力于定义事故场景部分所开展的工作。此主题是风险评估的关键点，也是整个风险量化的基础。该工作的首个成果是构建了一种重大事故隐患识别方法（MIMAH），这是通过基于设备和物质类型开发通用故障树和事件树来实现的。“重大事故”一词必须理解为假设未安装安全系统时设备上可能发生的最严重事故。第二种方法称为参考事故场景识别方法（MIRAS），它考虑了安全系统对事故频率和可能后果的影响。该方法有助于识别更现实的事故场景。参考事故场景借助一种名为“风险矩阵”的工具来选择，该工具综合考虑了事故的频率和后果。本文介绍了这两种方法以及在环氧乙烷储存方面的应用。
