首页> 外文期刊>Risk analysis >A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment
【24h】

A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment

机译:关于工程风险评估中非概率不确定性处理相关问题的批判性讨论和实践建议

获取原文
获取原文并翻译 | 示例
           

摘要

Models for the assessment of the risk of complex engineering systems are affected by uncertainties due to the randomness of several phenomena involved and the incomplete knowledge about some of the characteristics of the system. The objective of this article is to provide operative guidelines to handle some conceptual and technical issues related to the treatment of uncertainty in risk assessment for engineering practice. In particular, the following issues are addressed: (1) quantitative modeling and representation of uncertainty coherently with the information available on the system of interest; (2) propagation of the uncertainty from the input(s) to the output(s) of the system model; (3) (Bayesian) updating as new information on the system becomes available; and (4) modeling and representation of dependences among the input variables and parameters of the system model. Different approaches and methods are recommended for efficiently tackling each of issues (1)-(4) above; the tools considered are derived from both classical probability theory as well as alternative, nonfully probabilistic uncertainty representation frameworks (e.g., possibility theory). The recommendations drawn are supported by the results obtained in illustrative applications of literature.
机译:由于涉及的多个现象的随机性以及对系统某些特性的不完全了解,不确定性会影响用于评估复杂工程系统风险的模型。本文的目的是提供操作指南,以处理与处理工程实践风险评估中的不确定性有关的一些概念和技术问题。尤其要解决以下问题:(1)与感兴趣系统上可用的信息相结合的定量建模和不确定性表示; (2)从系统模型的输入到输出的不确定性传播; (3)(贝叶斯)随着系统上新信息的出现而更新; (4)对系统模型的输入变量和参数之间的依赖性进行建模和表示。建议使用不同的方法和方法来有效解决上述每个问题(1)-(4);所考虑的工具既来自经典的概率论,也来自非选择性的概率不确定性表示框架(例如,可能性论)。所提出的建议得到文献说明性应用中获得的结果的支持。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号