Assessment of USM3D Hierarchical Adaptive Nonlinear Method Preconditioners for Three-Dimensional Cases

Enhancements to the previously reported hierarchical adaptive nonlinear iteration methods implemented in a mixed-element cell-centered framework have been made to improve robustness, efficiency, and accuracy of computational-fluid-dynamic simulations. The key enhancements include a multicolor line-i...

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Bibliographic Details
Published in:AIAA journal 2017-10, Vol.55 (10), p.3409-3424
Main Authors: Pandya, Mohagna J, Diskin, Boris, Thomas, James L, Frink, Neal T
Format: Article
Language:English
Subjects:
Boundary conditions
Computational fluid dynamics
Convergence
Fluid flow
Iterative methods
Robustness (mathematics)
Spalart-Allmaras turbulence model
Three dimensional models
Turbulence models
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Summary:Enhancements to the previously reported hierarchical adaptive nonlinear iteration methods implemented in a mixed-element cell-centered framework have been made to improve robustness, efficiency, and accuracy of computational-fluid-dynamic simulations. The key enhancements include a multicolor line-implicit preconditioner, a discretely consistent symmetry boundary condition, and a line-mapping method for the turbulence source term discretization. The Reynolds-averaged Navier–Stokes solutions have been computed using a Spalart–Allmaras turbulence model and families of uniformly refined nested grids on two three-dimensional configurations, namely, a bump in a channel and a hemisphere cylinder. Iterative convergence of two hierarchical adaptive nonlinear iteration method approaches using line- and point-implicit preconditioners has been compared with the iterative convergence of the point-implicit preconditioner-alone method that broadly represents the baseline solver technology. The line-implicit hierarchical adaptive nonlinear iteration method shows superior iterative convergence with progressively increasing benefits on finer grids.
ISSN:0001-1452
1533-385X
DOI:10.2514/1.J055823