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Division Spotlight
Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
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
Is waste really waste?
Tim Tinsley
I’ve been reflecting on the recent American Nuclear Society Winter Conference and Expo, where I enjoyed the discussion on recycling used nuclear fuel to recover valuable minerals or products for future applications. I have spent more than 30 years focusing on dissolving and separating nuclear material, so it was refreshing to hear the case for new applications being made. However, I feel that these discussions could go further still.
Radiation is energy, something that our society seems to have an endless need for. A nuclear power station produces a lot of radiation that is mostly discarded. But once fuel has been used, it still produces significant levels of radiation and heat energy. The associated storage, processing, and eventual disposal of this used fuel requires careful management and investment to protect systems and people from the radiation. Should we really disregard—and discard—this energy source, along with all the valuable minerals in the used fuel, when we could instead use it to deliver significant value to society?
A. Rashkovan, D. McClure, D. R. Novog
Nuclear Science and Engineering | Volume 177 | Number 2 | June 2014 | Pages 141-155
Technical Paper | doi.org/10.13182/NSE13-4
Articles are hosted by Taylor and Francis Online.
Grid spacers within nuclear fuel assemblies play a critical role in fuel performance and contribute to safety margins by enhancing the margin to the critical heat flux. The Organisation for Economic Co-operation and Development/Nuclear Energy Agency has organized a computational benchmark wherein the prediction of flows and turbulence downstream of a mixing-type grid spacer are examined. Studies performed by McMaster University using STAR-CCM+ for the final submission to this MATiS-H blind benchmark exercise related to inter-subchannel mixing and turbulence are presented in this paper. The rationale behind the choice of the computational scheme along with comparisons of the submitted results to the experiments is reported. The goal at the outset of the study was to obtain a reasonably accurate solution with a minimum number of nodes and appropriate turbulence models such that the results would be relevant for engineering applications that include property variations and heat transfer. As such, advanced modeling methods such as large eddy simulation and unsteady Reynolds-averaged Navier-Stokes (URANS) were not included within the scope of the models tested. However, URANS was used to study some specific separate-effect flow features within the grid spacer, and these tests were compared to their steady counterparts.
A comprehensive separate-effect study was performed first in order to finalize the computational scheme for the submission. Several partial geometries were studied for steady and unsteady behavior as well as for mesh sensitivity, turbulence, and wall modeling effects. A series of successively more complex simulations, sometimes involving unsteady modeling, was performed up to and including a study of similar 5 × 5 rod bundle geometry reported in the literature. The final submission results are presented in the paper and are compared with the benchmark data that have recently been released.