White paper on VU for Modeling Nuclear Energy Systems | |
Klein, R ; Turinsky, P | |
关键词: ASTROPHYSICS; CHEMICAL ENGINEERING; CHEMISTRY; CIVIL ENGINEERING; ELECTRICAL ENGINEERING; ELEMENTS; ENGINEERING; GEOLOGY; HAZARDS; HYDROLOGY; MATERIALS; MECHANICAL ENGINEERING; NUCLEAR ENERGY; NUCLEAR ENGINEERING; PHYSICS; SIMULATION; SUPPORTS; VALIDATION; VERIFICATION; | |
DOI : 10.2172/953297 RP-ID : LLNL-TR-412906 PID : OSTI ID: 953297 Others : TRN: US201002%%1530 |
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学科分类:社会科学、人文和艺术(综合) | |
美国|英语 | |
来源: SciTech Connect | |
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【 摘 要 】
The purpose of this whitepaper is to provide a framework for understanding the role that Verification and Validation (V&V), Uncertainty Quantification (UQ) and Risk Quantification, collectively referred to as VU, is expected to play in modeling nuclear energy systems. We first provide background for the modeling of nuclear energy based systems. We then provide a brief discussion that emphasizes the critical elements of V&V as applied to nuclear energy systems but is general enough to cover a broad spectrum of scientific and engineering disciplines that include but are not limited to astrophysics, chemistry, physics, geology, hydrology, chemical engineering, mechanical engineering, civil engineering, electrical engineering, nu nuclear engineering material clear science science, etc. Finally, we discuss the critical issues and challenges that must be faced in the development of a viable and sustainable VU program in support of modeling nuclear energy systems.
【 预 览 】
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