2023 article

Validation of RANS-Based Turbulence Models Against High-Resolution Experiments and DNS for Buoyancy-Driven Flow with Stratified Fronts

Mao, J., Vishwakarma, V., Welker, Z., Tai, C. K., Bolotnov, I. A., Petrov, V., & Manera, A. (2023, August 10). NUCLEAR SCIENCE AND ENGINEERING.

By: J. Mao*, V. Vishwakarma*, Z. Welker*, C. Tai n, I. Bolotnov n, V. Petrov*, A. Manera*

author keywords: Stratification; experiments; DNS; CFD RANS; HiRJet; >
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Source: Web Of Science
Added: August 28, 2023

AbstractTo provide computational fluid dynamics (CFD)–grade experimental data for studying stratification, measurements on the High-Resolution Jet (HiRJet) facility at the University of Michigan have been conducted with density differences of 1.5% and −1.5%, respectively. Fluid with a density different from the fluid initially present in the HiRJet tank was injected, and the propagation of the time-dependent density stratification was captured on a two-dimensional plane with the aid of the wire-mesh sensor technique for Reynolds numbers near 5000 and Richardson numbers near 0.29. Direct numerical simulations (DNSs) of the two cases have also been conducted to expand the multifidelity database. The novel experimental and DNS data were then used to assess the predictive capabilities of the Standard k−ε (SKE) model and the Reynolds Stress Transport (RST) model. In particular, the propagation speed and thickness of the stratification fronts were assessed by comparing the CFD results against the experimental and DNS data. It was found that the general trends of the stratified density fronts were well predicted by the CFD simulations; however, slight overprediction of the thickness of the stratification layer was found with the SKE model while the RST model gave a larger overprediction of the mixing. Examination of the turbulent statistics showed that the turbulent viscosity was largely overpredicted by the RST model compared to the SKE model.Keywords: StratificationexperimentsDNSCFD RANS, HiRJet Disclosure StatementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was cofunded by the NEUP and the IRP entitled “Center of Excellence for Thermal-Fluids Applications in Nuclear Energy: Establishing the Knowledgebase for Thermal-Hydraulic Multiscale Simulation to Accelerate the Deployment of Advanced Reactors,” IRP-NEAMS-1.1, “Thermal-Fluids Applications in Nuclear Energy,” from DOE. The authors are thankful for the financial support from the DOE office and appreciate the insightful suggestions from all colleagues under these two projects.