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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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NN Asks: What did you learn from ANS’s Nuclear 101?
Mike Harkin
When ANS first announced its new Nuclear 101 certificate course, I was excited. This felt like a course tailor-made for me, a transplant into the commercial nuclear world. I enrolled for the inaugural session held in November 2024, knowing it was going to be hard (this is nuclear power, of course)—but I had been working on ramping up my knowledge base for the past year, through both my employer and at a local college.
The course was a fast-and-furious roller-coaster ride through all the key components of the nuclear power industry, in one highly challenging week. In fact, the challenges the students experienced caught even the instructors by surprise. Thankfully, the shared intellectual stretch we students all felt helped us band together to push through to the end.
We were all impressed with the quality of the instructors, who are some of the top experts in the field. We appreciated not only their knowledge base but their support whenever someone struggled to understand a concept.
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.