An immersed boundary method on Cartesian adaptive grids for the simulation of compressible flows around arbitrary geometries

• Published in: Engineering with computers Vol. 37; no. 3; pp. 2419 - 2437
• Main Authors: Péron, S., Benoit, C., Renaud, T., Mary, I.
• Format: Journal Article
• Language: English
• Published: London Springer London 01.07.2021; Springer Nature B.V; Springer Verlag
• Subjects: Aerodynamics; Boundary conditions; CAE) and Design; Calculus of Variations and Optimal Control; Optimization; Cartesian coordinates; Classical Mechanics; Compressible flow; Computer Science; Computer-Aided Engineering (CAD; Control; Engineering Sciences; Finite element method; Flow simulation; Fluid dynamics; Fluid flow; Fluids mechanics; Fluxes; High Reynolds number; Large eddy simulation; Math. Applications in Chemistry; Mathematical and Computational Engineering; Mechanics; Mesh generation; Original Article; Reynolds number; Simulation; Systems Theory; Workflow; Cartesian adaptive grids; Immersed boundaries; Wall law; Turbulent flows; MAILLAGES CARTESIENS ADAPTATIFS; CFD; METHODES DE FRONTIERES IMMERGEES; LOIS DE PAROI; SOLVEUR CARTESIEN
• ISSN: 0177-0667; 1435-5663
• DOI: 10.1007/s00366-020-00950-y

In this article, we present an immersed boundary method for the simulation of compressible flows of complex geometries encountered in aerodynamics. The immersed boundary methods allow the mesh not to conform to obstacles, whose influence is taken into account by modifying the governing equations locally (either by a source term within the equation or by imposing the flow variables or fluxes locally, similarly to a boundary condition). A main feature of the approach which we propose is that it relies on structured Cartesian grids in combination with a dedicated HPC Cartesian solver, taking advantage of their low memory and CPU time requirements but also the automation of the mesh generation and adaptation. Turbulent flow simulations are performed by solving the Reynolds-averaged Navier–Stokes equations or by a Large-Eddy simulation approach, in combination with a wall function at high Reynolds number, to mitigate the cell count resulting from the isotropic nature of Cartesian cells. The objective of this paper is to demonstrate that this automatic workflow is fast and robust and enables to get quantitative aerodynamics results on geometrically complex configurations. Results obtained are in good agreement with classical body-fitted approaches but with a significant reduction of the time of the whole process, that is a day for RANS simulations, including the mesh generation.