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Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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
Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
J. Michael Doster, Jeremy M. Kauffman
Nuclear Science and Engineering | Volume 132 | Number 1 | May 1999 | Pages 90-104
Technical Paper | doi.org/10.13182/NSE99-A2051
Articles are hosted by Taylor and Francis Online.
Drift-flux models can be used to describe two-phase-flow systems when explicit representation of the relative phase motion is not required. In these models, relative phase velocity is described by flow-regime-dependent, semiempirical models. Numerical stability of the mixture drift-flux equations is examined for different semi-implicit time discretization schemes. Representative flow-regime-dependent drift-flux correlations are considered, and analytic stability limits are derived based on these correlations. The analytic stability limits are verified by numerical experiments run in the vicinity of the predicted stable boundaries. It is shown that the stability limits are strong functions of the time-level specification and functional form chosen for the relative phase velocity. It is also shown that the mixture Courant limit normally associated with these methods is insufficient for ensuring a stable numerical scheme.