将危险组合成单顶故障树

J. Weglian, J. Riley, F. Ferrante
{"title":"将危险组合成单顶故障树","authors":"J. Weglian, J. Riley, F. Ferrante","doi":"10.1109/RAMS48030.2020.9153625","DOIUrl":null,"url":null,"abstract":"SUMMARY & CONCLUSIONSCommercial nuclear power plants use probabilistic risk assessment (PRA) models to gain insights into the risks associated with operating the plants. PRA models can be used to assess a variety of hazards such as internal events (transients and loss of coolant accidents), internal flooding, fire, seismic, and other hazards. Each model can provide risk insights, identify vulnerabilities, and identify significant equipment or operator actions. This information can be used to improve plant performance and safety via equipment or operational changes. It is often convenient, and for some risk-informed regulations it may be required, to combine all hazard PRA models into a single calculational model. This “one-top” model provides a single PRA fault tree that can be solved to generate the risk for all hazards. Combining these models can be a challenge, if they were built with different revisions to the internal events model at their core. The one-top model provides a convenient platform for assessing the risk from all of the modeled hazards in a single quantification. Certain software tools, such as the EPRI FRANX software, simplify the process of creating a one-top model. However, quantifying a one-top model has challenges, because each hazard model is built with different assumptions, data, biases, and uncertainty. Furthermore, when one hazard generates a risk value much larger than the risk value from another hazard, combining the results runs the risk of masking risk insights from the hazard with the smaller risk value. In addition to quantifying the one-top model for risk-informed applications that require or benefit from it, hazard models should still be quantified separately to get the risk insights the individual models provide.","PeriodicalId":360096,"journal":{"name":"2020 Annual Reliability and Maintainability Symposium (RAMS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Combining Hazards into a Single-Top Fault Tree\",\"authors\":\"J. Weglian, J. Riley, F. Ferrante\",\"doi\":\"10.1109/RAMS48030.2020.9153625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SUMMARY & CONCLUSIONSCommercial nuclear power plants use probabilistic risk assessment (PRA) models to gain insights into the risks associated with operating the plants. PRA models can be used to assess a variety of hazards such as internal events (transients and loss of coolant accidents), internal flooding, fire, seismic, and other hazards. Each model can provide risk insights, identify vulnerabilities, and identify significant equipment or operator actions. This information can be used to improve plant performance and safety via equipment or operational changes. It is often convenient, and for some risk-informed regulations it may be required, to combine all hazard PRA models into a single calculational model. This “one-top” model provides a single PRA fault tree that can be solved to generate the risk for all hazards. Combining these models can be a challenge, if they were built with different revisions to the internal events model at their core. The one-top model provides a convenient platform for assessing the risk from all of the modeled hazards in a single quantification. Certain software tools, such as the EPRI FRANX software, simplify the process of creating a one-top model. However, quantifying a one-top model has challenges, because each hazard model is built with different assumptions, data, biases, and uncertainty. Furthermore, when one hazard generates a risk value much larger than the risk value from another hazard, combining the results runs the risk of masking risk insights from the hazard with the smaller risk value. In addition to quantifying the one-top model for risk-informed applications that require or benefit from it, hazard models should still be quantified separately to get the risk insights the individual models provide.\",\"PeriodicalId\":360096,\"journal\":{\"name\":\"2020 Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Annual Reliability and Maintainability Symposium (RAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS48030.2020.9153625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS48030.2020.9153625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

商业核电站使用概率风险评估(PRA)模型来深入了解与运行核电站相关的风险。PRA模型可用于评估各种危害,如内部事件(瞬态和冷却剂损失事故)、内部洪水、火灾、地震和其他危害。每个模型都可以提供风险洞察,识别漏洞,并识别重要的设备或操作人员操作。这些信息可用于通过设备或操作变更来提高工厂性能和安全性。将所有风险PRA模型合并为单个计算模型通常是方便的,并且对于一些风险知情的法规可能需要。这种“一顶”模型提供了一个单一的PRA故障树,可以解决所有危害的风险。如果这些模型是用内部事件模型的不同修订版构建的,那么组合这些模型可能是一个挑战。单顶模型提供了一个方便的平台,可以在一个单一的量化中评估所有建模危害的风险。某些软件工具,如EPRI FRANX软件,简化了创建一顶模型的过程。然而,量化一个单顶模型是有挑战的,因为每个风险模型都是用不同的假设、数据、偏差和不确定性建立的。此外,当一种风险产生的风险值远远大于另一种风险产生的风险值时,将结果结合起来可能会掩盖来自风险值较小的风险的风险见解。除了对需要或从中受益的风险知情应用程序的单顶模型进行量化外,还应该对风险模型进行单独量化,以获得各个模型提供的风险洞察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Combining Hazards into a Single-Top Fault Tree
SUMMARY & CONCLUSIONSCommercial nuclear power plants use probabilistic risk assessment (PRA) models to gain insights into the risks associated with operating the plants. PRA models can be used to assess a variety of hazards such as internal events (transients and loss of coolant accidents), internal flooding, fire, seismic, and other hazards. Each model can provide risk insights, identify vulnerabilities, and identify significant equipment or operator actions. This information can be used to improve plant performance and safety via equipment or operational changes. It is often convenient, and for some risk-informed regulations it may be required, to combine all hazard PRA models into a single calculational model. This “one-top” model provides a single PRA fault tree that can be solved to generate the risk for all hazards. Combining these models can be a challenge, if they were built with different revisions to the internal events model at their core. The one-top model provides a convenient platform for assessing the risk from all of the modeled hazards in a single quantification. Certain software tools, such as the EPRI FRANX software, simplify the process of creating a one-top model. However, quantifying a one-top model has challenges, because each hazard model is built with different assumptions, data, biases, and uncertainty. Furthermore, when one hazard generates a risk value much larger than the risk value from another hazard, combining the results runs the risk of masking risk insights from the hazard with the smaller risk value. In addition to quantifying the one-top model for risk-informed applications that require or benefit from it, hazard models should still be quantified separately to get the risk insights the individual models provide.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reliability-Equivalent Field Reference Usage and Stress Level When Both are Random for Product with Weibull Life Distribution Selective Maintenance of Multi-Component Systems with Multiple Failure Modes Chronology of Continuous Improvement of the World’s Best FMECA Standard Risk Considerations for Autonomy Software A Life Test Method for Rapidly Obtaining the Degradation Trend of Sensitive Parameters
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1