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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.
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2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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ANS announces 2025 Presidential Citations
One of the privileges of being president of the American Nuclear Society is awarding Presidential Citations to individuals who have demonstrated outstanding effort in some manner for the benefit of ANS or the nuclear community at large. Citations are conferred twice each year, at the Annual and Winter Meetings.
ANS President Lisa Marshall has named this season’s recipients, who will receive recognition at the upcoming Annual Conference in Chicago during the Special Session on Tuesday, June 17.
Jinyong Feng (MIT), Tarek Frahi (Institut National des Sciences et Techniques Nucléaires), Emilio Baglietto (MIT)
Proceedings | 2018 International Congress on Advances in Nuclear Power Plants (ICAPP 2018) | Charlotte, NC, April 8-11, 2018 | Pages 341-350
Turbulent mixing of different temperature fluids in T-junction geometries is a technically critical issue for the safe operation of power plants. Due to the strong flow deformation, the scale separation assumption is not respected locally, limiting the applicability of classic unsteady Reynolds-averaged Navier-Stokes (URANS) models, which are unable to deliver the required accuracy in the prediction of temperature fluctuations. On the contrary, eddy resolving methods, and in particular large eddy simulation (LES), can provide reliable results at a computational cost that is still impracticable for the industry.
A robust second-generation URANS (2G-URANS) model was recently proposed at MIT, which aims at locally resolving complex flow structures. In the present paper, the performance of the structure-based (STRUCT) model is assessed specifically against low Reynolds number (??????=4,485) DNS data on a T-junction case. Velocity and temperature distributions in the mixing region are compared between URANS, STRUCT and LES solutions and the reference DNS data. The STRUCT model demonstrates significant advancement in the ability to model the thermal striping phenomena. Its application produces accurate predictions of the flow behavior on coarse URANS computational grids, with a large cost saving in comparison to LES.