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Deriving Major Accident Failure Frequencies with a Storybuilder Analysis of Reportable Accidents

机译:通过Storybuilder对可报告事故的分析得出重大事故失效频率

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Quantitative Risk Assessment (QRA) is used in the Netherlands and the UK for site permittingrnand land-use planning around industries with dangerous substances. For example,rnindividual risk contours resulting from a QRA determine where houses and other types ofrnconstructions may exist. Therefore, both industry and regulators ask for models and datarnthat are up to date. Data used for input includes the failure frequency of failure scenarios.rnIn the past, updating frequencies required costly one-time investigations. As major hazardrnaccidents are investigated by the Labor Inspectorate by decree, a possibility arises to usernthese accident investigation data for a continuing updating scheme. Recent major accidentsrnin the UK and in the Netherlands were analyzed with the Storybuilder method. Underlyingrnfailure causes at operational and management levels were investigated andrnstored in a structured database. The amount of equipment present at plants was exploredrnusing various paths. Failure scenarios and frequencies can be updated on a regular basisrnby combining the accident data with the equipment data.
机译:在荷兰和英国,定量风险评估(QRA)用于围绕危险物质行业进行场地许可和土地使用规划。例如,由QRA产生的个人风险等高线确定了房屋和其他类型的建筑物可能存在的位置。因此,行业和监管机构都要求提供最新的模型和数据。用于输入的数据包括故障场景的失败频率。rn在过去,更新频率需要昂贵的一次性调查。由于劳动监察局根据法令调查了重大危险事故,因此有可能将这些事故调查数据用于持续更新方案。使用Storybuilder方法分析了英国和荷兰最近发生的重大事故。在运营和管理级别的潜在故障原因已得到调查,并存储在结构化数据库中。利用各种途径探索了工厂中存在的设备数量。通过将事故数据与设备数据结合起来,可以定期更新故障场景和频率。

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