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Title
Using experiments designed to provide data to Validate High-Fidelity and Systems Analysis Numerical Models to enhance understanding of Integral System Experiment Behavior and the Adequacy of Analysis Tools
Organization
Department: Nuclear Eng'g & Health Physics
University: Idaho State University
College: Science & Engineering
Department: Nuclear Eng'g & Health Physics 23
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City
Pocatello
Coverage
Unknown to Unknown
Creator
Maruf Anwarul
Publisher
Idaho State University
Type
Thesis
Is Complete
No
Date Published
6/22/2018
Archive
digital
City: Pocatello
Degree
Master
Document Attachments
Abstracts
The Very High Temperature Gas Reactor (VHTR) has been designated to be the Next Generation Nuclear Power Plant (NGNP) by the US Department of Energy (DOE). The licensing process of NGNP will include the analyses of different thermal-hydraulic phenomena using advanced high-fidelity multi-physics tools. These tools require prior validation which is performed employing low-distribution density vintage data in conjunction with high-distribution density advanced data. Such data are generated in separate effect tests alongside integral tests which are performed as a requirement of the validation pyramid. Appropriate scaling relationships are developed to provide links between such data measured in integral/separate-effects facilities and the prototype. Scaling distortions are also measured and quantified properly, so that the analysis tool used, to calculate the phenomena measured in the scaled facilities, can also adequately represent the phenomena behavior in the prototype for the scenario of interest.
Using experiments designed to provide data to Validate High-Fidelity and Systems Analysis Numerical Models to enhance understanding of Integral System Experiment Behavior and the Adequacy of Analysis Tools
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