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Scale-Resolving Simulations Combined with the Immersed Boundary Method for Predicting Car Aerodynamics AVL LIST GmbH

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Basara, Branislav, author.
Contributor:
Jemcov, Aleksandar
Pavlović, Zoran
Saric, Sanjin
Zunic, Zoran
Conference Name:
WCX SAE World Congress Experience (2023-04-18 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2023
Summary:
This paper presents calculations of external car aerodynamics by using the Partial-Averaged Navier-Stokes (PANS) variable resolution model in conjunction with the finite volume (FV) immersed-boundary method. The work presented here is the continuation of the study reported in Basara and others [1]. In that work, it was shown that the same accuracy of predicted aerodynamic forces can be achieved by using Reynolds-Averaged Navier-Stokes (RANS) k-ζ-f model on both types of meshes, the standard body-fitted (BF), and on the immersed boundary (IB) mesh. Due to all well-known shortcomings of the steady state approach, in this work we deal with the Partially Averaged Navier-Stokes (PANS), which belongs to the hybrid RANS-LES (scale resolving / high fidelity) methods. This approach was developed to resolve a part of the turbulence spectrum adjusting seamlessly from RANS to DNS (Direct Numerical Simulation). The PANS model variant used for the present calculations is based on the near-wall RANS k-ζ-f model. The numerical implementation of the wall treatment on the IB meshes is the same as in the previously reported RANS calculations. The significant speed-up of the PANS calculations was achieved by using the fractional step method. Comparisons of the PANS results on both types of meshes with the experimental data for the well-known DrivAer notchback model (Hupertz and others [2]) demonstrate the predictive capability of PANS in the IB framework
Notes:
Vendor supplied data
Publisher Number:
2023-01-0561
Access Restriction:
Restricted for use by site license

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