A survey of Existing V&V, UQ and M&S Data and Knowledge Bases in Support of the Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS)

Hyung Lee ; Rich Johnson, Ph.D. ; Kimberlyn C. Moussesau

关键词: ANL;    ARCHITECTURE;    BETTIS;    DESIGN;    EVALUATION;    IDAHO NATIONAL LABORATORY;    KNOWLEDGE BASE;    NUCLEAR ENERGY;    NUCLEAR INDUSTRY;    ORNL;    REACTORS;    SANDIA NATIONAL LABORATORIES;    SIMULATION;    VALIDATION;    VERIFICATION NE-KAMS;    uncertainty quantification;    validation;    verification;   

DOI  :  10.2172/1035908
RP-ID  :  INL/EXT-11-24275
PID  :  OSTI ID: 1035908
Others  :  TRN: US201205%%485

美国|英语

来源: SciTech Connect

【 摘 要 】

The Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Oak Ridge National Laboratory, Utah State University and others. The objective of this consortium is to establish a comprehensive knowledge base to provide Verification and Validation (V&V) and Uncertainty Quantification (UQ) and other resources for advanced modeling and simulation (M&S) in nuclear reactor design and analysis. NE-KAMS will become a valuable resource for the nuclear industry, the national laboratories, the U.S. NRC and the public to help ensure the safe operation of existing and future nuclear reactors. A survey and evaluation of the state-of-the-art of existing V&V and M&S databases, including the Department of Energy and commercial databases, has been performed to ensure that the NE-KAMS effort will not be duplicating existing resources and capabilities and to assess the scope of the effort required to develop and implement NE-KAMS. The survey and evaluation have indeed highlighted the unique set of value-added functionality and services that NE-KAMS will provide to its users. Additionally, the survey has helped develop a better understanding of the architecture and functionality of these data and knowledge bases that can be used to leverage the development of NE-KAMS.