Characterization, Propagation and Analysis of Aleatory and Epistemic Uncertainty in the 2008 Performance Assessment for the Proposed Repository for High-Level Radioactive Waste at Yucca Mountain, Nevada

被引：0
|
作者：
Hansen, Clifford W. [1 ]
Helton, Jon C. [1 ]
Sallaberry, Cedric J. [1 ]
机构：
[1] Sandia Natl Labs, Albuquerque, NM 87185 USA
来源：
SCALABLE UNCERTAINTY MANAGEMENT, SUM 2010 | 2010年 / 6379卷
关键词：
ISOLATION PILOT-PLANT; SENSITIVITY-ANALYSIS; COMPLEX-SYSTEMS; RISK ANALYSIS; METHODOLOGY; DISPOSAL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The 2008 performance assessment (PA) for the proposed repository for high-level radioactive waste at Yucca Mountain (YM), Nevada, illustrates the conceptual structure of risk assessments for complex systems. The 2008 YM PA is based on the following three conceptual entities: a probability space that characterizes aleatory uncertainty; a function that predicts consequences for individual elements of the sample space for aleatory uncertainty; and a probability space that characterizes epistemic uncertainty. These entities and their use in the characterization, propagation and analysis of aleatory and epistemic uncertainty are described and illustrated with results from the 2008 YM PA.
引用
收藏
页码：177 / 190
页数：14
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