Toward Direct Numerical Simulation of Turbulent and Transitional Flow in Hexagonal Subchannels for Helium Conditions
Carolina Bourdot Dutra, Elia Merzari

TL;DR
This paper presents high-fidelity DNS simulations of turbulent and transitional helium flows in hexagonal subchannels, providing new benchmark data for low Reynolds number conditions relevant to gas-fast reactors.
Contribution
The study develops the first DNS benchmark dataset for low Reynolds number helium flows in hexagonal subchannels, aiding turbulence model validation and reactor coolant analysis.
Findings
Reynolds stresses and turbulent kinetic budgets characterized
Polynomial-order convergence confirmed accuracy of simulations
Benchmark data for Re=2500 to 10000 provided
Abstract
Understanding the coolant thermal hydraulics in rod bundles is essential to the design of nuclear reactors. However, flows with low Reynolds numbers present serious modeling challenges, especially in heat transfer and natural convection. They are difficult to analyze through standard Computational Fluid Dynamics (CFD) tools. High-fidelity simulations, such as Direct Numerical Simulations (DNS), can provide invaluable insight into flow physics, supporting experiments in developing a deeper understanding and eventually enabling the accurate simulation of this class of flows. Data generated from these high-fidelity methods can then be used to benchmark available turbulence models and deliver cheap, faster running methods. In the present work, the convective heat transfer in hexagonal subchannels was studied through a DNS approach, using the high-order spectral element method code Nek5000,…
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Taxonomy
TopicsHeat transfer and supercritical fluids · Nuclear reactor physics and engineering · Nuclear Engineering Thermal-Hydraulics
