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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Latest News
Nano Nuclear, UIUC extend collaboration on Kronos MMR
New York City–based Nano Nuclear Energy has signed a memorandum of understanding with the University of Illinois Board of Trustees, on behalf of the University of Illinois–Urbana-Champaign, to collaborate on the development, construction, and operation of the company’s Kronos MMR (micro modular reactor) as an on-campus research reactor. The new MOU represents the latest aspect of Nano Nuclear’s partnership on the Kronos MMR project with the university, which includes state funding for a manufacturing and research center, to be located in the Chicago suburb of Oak Brook.
Gongbo Chen, Naibin Jiang
Nuclear Technology | Volume 210 | Number 11 | November 2024 | Pages 2215-2235
Research Article | doi.org/10.1080/00295450.2024.2312023
Articles are hosted by Taylor and Francis Online.
The heat exchange tubes in the steam generator are susceptible to vibration caused by fluid flow, which can lead to damage to both the tubes and their support structures due to collisions. To enhance the predictive accuracy and cost effectiveness of fluid-elastic instability mitigation, multiple models have been created to circumvent its occurrence.
In this research, a model has been developed to predict fluid-elastic instability in tube arrays by integrating Hassan’s time-domain-solving model with a parameter acquisition method using computational fluid dynamics (CFD) simulations. By utilizing CFD methods, a comprehensive set of tube-in-channel model parameters were acquired. This method eliminates the requirement of empirical parameters obtained through experiments. The acquired parameters were integrated into the time-domain, tube-in-channel model.
This model predicts fluid-elastic stability for a single flexible tube or a bundle of seven tubes within a rigid tube array, accounting for fluid forces in the lift direction. The stability map accurately represents the stiffness effect of flow-induced vibration, agreeing with experimental results and highlighting that the model may effectively utilize parameters obtained from CFD simulations. The combination of the time-domain-solving model and the CFD-based parameter acquisition method has been shown to produce a reliable model.