Comparative study of inner–outer Krylov solvers for linear systems in structured and high-order unstructured CFD problems

نویسندگان

چکیده

Advanced Krylov subspace methods are investigated for the solution of large sparse linear systems arising from stiff adjoint-based aerodynamic shape optimization problems. A special attention is paid to flexible inner–outer GMRES strategy combined with most relevant preconditioning and deflation techniques. The choice this specific class solvers challenging problems based on its outstanding convergence properties. Typically in our implementation efficiency preconditioner enhanced a domain decomposition method overlapping. However, maintaining performance may be since scalability technique properties often antagonistic each other. In paper we demonstrate how able overcome critical issue. numerical study performed considering either Finite Volume (FV), or high-order Discontinuous Galerkin (DG) discretization which affect arithmetic intensity memory-bandwidth algebraic operations. We consider test cases transonic turbulent flows RANS modeling over two-dimensional supercritical OAT15A airfoil three-dimensional ONERA M6 wing. Benefits terms robustness compared standard obtained. Strong analysis shows satisfactory results. Based these representative discussion recommended practices proposed.

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ژورنال

عنوان ژورنال: Computers & Fluids

سال: 2022

ISSN: ['0045-7930', '1879-0747']

DOI: https://doi.org/10.1016/j.compfluid.2022.105575