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Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Digital control system installed at China’s Linglong One
Earlier this month, the first digital control system was put in place at Linglong One, a small modular reactor demonstration project being built at the Changjiang nuclear power plant in Hainan Province. This is the world’s first land-based commercial SMR and is controlled by China National Nuclear Power Co. Ltd., a subsidiary of the China National Nuclear Corporation (CNNC).
Aaron M. Krueger (Texas A&M), Vincent A. Mousseau (SNL), Yassin A. Hassan (Texas A&M)
Proceedings | Advances in Thermal Hydraulics 2018 | Orlando, FL, November 11-15, 2018 | Pages 1003-1014
Applying solution verification methods to computational fluid dynamic (CFD) simulations has substantially increased within the past three decades, especially with the introduction of the grid convergence index (GCI) metric. Since then, numerical and meshing schemes and the governing equations have increased in complexity, which makes understanding the discretization error for a simulation even more complex. Greater understanding of how discretization error develops from local truncation error (LTE) within a simulation can provide additional evidence to determine the adequacy of the error model used in current solution verification methods. It also provides meshing strategies to improve the adequacy of the error model. When the error model is determined to be adequate, additional confidence is added to the solution verification studies. One way of understanding how discretization error develops from LTE is to quantify the LTE and track how it propagates through time and space using the partial differential equation. Propagating LTE through time and space was completed using two methods: difference of difference quotients (DDQ) method and method of manufactured solutions-informed modified equation analysis (MMS-informed MEA) method. These methods justify the adequacy of the error model implemented in most Richardson extrapolation (RE) methods for the implemented numerical and meshing scheme. In addition, an example problem is provided that showed the implementation of both discretization error estimation methods using a first-order method and a uniform, structured mesh. The discretization error estimation results were then compared to the exact discretization error.