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

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

Article de revue (2024)

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Résumé

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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Unité de recherche:
Organismes subventionnaires:
NSERC / CRSNG
Numéro de subvention:
RGPIN-2020-04510, CRC-2022-00340
Adresse URL de PolyPublie:
Titre de la revue :
Computers & Fluids ( vol. 283 )
Maison d'édition:
Elsevier
OAI:
oai:publications.polymtl.ca:59141
ORCID
Date du dépôt:
18 sept. 2024 13:32
Dernière modification:
14 oct. 2026 14:20
Citer en 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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