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An implicit large-Eddy simulation perspective on the flow over periodic hills

Laura Prieto Saavedra, Catherine E. Niamh Radburn, Audrey Collard-Daigneault and Bruno Blais

Article (2024)

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Abstract

The periodic hills simulation case is a well-established benchmark for computational fluid dynamics solvers due to its complex features derived from the separation of a turbulent flow from a curved surface. We study the case with the open-source implicit large-eddy simulation (ILES) software Lethe. Lethe solves the incompressible Navier–Stokes equations by applying a stabilized continuous finite element discretization. The results are validated by comparison to experimental and computational data available in the literature for Re = 5600. We study the effect of the time step, averaging time, and global mesh refinement. The ILES approach shows good accuracy for average velocities and Reynolds stresses using less degrees of freedom than the reference numerical solution. The time step has a greater effect on the accuracy when using coarser meshes, while for fine meshes the results are rapidly time-step independent when using an implicit time-stepping approach. A good prediction of the reattachment point is obtained with several meshes and this value approaches the experimental benchmark value as the mesh is refined. We also run simulations at Reynolds equal to 10 600 and 37 000 and observe promising results for the ILES approach.

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Department: Department of Chemical Engineering
Research Center: Other
Funders: NSERC / CRSNG
Grant number: RGPIN-2020-04510, CRC-2022-00340
PolyPublie URL: https://publications.polymtl.ca/59141/
Journal Title: Computers & Fluids (vol. 283)
Publisher: Elsevier
DOI: 10.1016/j.compfluid.2024.106390
Official URL: https://doi.org/10.1016/j.compfluid.2024.106390
Date Deposited: 18 Sep 2024 13:32
Last Modified: 11 Jan 2026 00:16
Cite in APA 7: Saavedra, L. P., Radburn, C. E. N., Collard-Daigneault, A., & Blais, B. (2024). An implicit large-Eddy simulation perspective on the flow over periodic hills. Computers & Fluids, 283, 106390 (16 pages). https://doi.org/10.1016/j.compfluid.2024.106390

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