Abstract
Several block preconditioning strategies for the Stokes problem with piecewise discontinuous viscosity and friction are investigated for their efficiency and independence of the contrast in both viscosity and friction. The constituting blocks correspond to inexact solvers, based on algebraic multigrid. It follows that the block triangular preconditioner is the most robust choice.
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Notes
- 1.
When \(cd=0\), both types of preconditioners require only one solve with \(A_0\) and one with \(S_0\).
References
Alnæs, M.S.: The FEniCS project version 1.5. Arch. Numer. Softw. 3(100) (2015)
Balay, S., et al.: PETSc users manual. Technical Report ANL-95/11 - Revision 3.8, Argonne National Laboratory (1995)
Dryja, M., Sarkis, M.: Additive average Schwarz methods for discretization of elliptic problems with highly discontinuous coefficients. Comput. Methods Appl. Math. 10(2), 164–176 (2010)
Elman, H.C.: Preconditioning for the steady-state navier-stokes equations with low viscosity. SIAM J. Sci. Comput. 20(4), 1299–1316 (1999)
Robert D. Falgout, Jim E. Jones, and Ulrike Meier Yang. The design and implementation of hypre, a library of parallel high performance preconditioners. In Numerical solution of Partial Differential Equations on Parallel Computers, Lect. Notes Comput. Sci. Eng, pages 267–294. Springer-Verlag, 2006
Girault, V., Raviart, P.A.: Finite Element Method for Navier-Stokes Equations. Theory and Algorithms. Springer, Berlin (1986)
Kadoch, B., Kolomenskiy, D., Angot, P., Schneider, K.: A volume penalization method for incompressible flows and scalar advection-diffusion with moving obstacles. J. Comput. Phys. 231(12), 4365–4383 (2012)
Krzyżanowski, P.: Block preconditioners for saddle point problems resulting from discretizations of partial differential equations. In: Axelsson, O., Karatson, J., (eds.), Efficient Preconditioned Solution Methods for Elliptic Partial Differential Equations, pp. 44–65. Bentham Publishers (2011)
Malikova, S.: Approximation of rigid obstacle by highly viscous fluid (2022). arxiv:2201.10299
Olshanskii, M.A., Reusken, A.: A Stokes interface problem: stability, finite element analysis and a robust solver. In: European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS 2004 (2004)
Rudi, J., Stadler, G., Ghattas, O.: Weighted BFBT preconditioner for Stokes flow problems with highly heterogeneous viscosity. SIAM J. Sci. Comput. 39(5), S272–S297 (2017)
Schäfer, M., Turek, S., Durst, F., Krause, E., Rannacher, R.: Benchmark computations of laminar flow around a cylinder. In: Hirschel, E.H. (ed.) Flow Simulation with High-Performance Computers II: DFG Priority Research Programme Results 1993–1995, pp. 547–566. Vieweg+Teubner Verlag, Wiesbaden (1996). https://doi.org/10.1007/978-3-322-89849-4_39
Wichrowski, M.: Fluid-structure interaction problems: velocity-based formulation and monolithic computational methods. PhD thesis, Polish Academy of Sciences, Institute of Fundamental Technological Research (2021)
Jinchao, X., Zikatanov, L.: Algebraic multigrid methods. Acta Numerica 26, 591–721 (2017)
Zulehner, W.: A class of smoothers for saddle point problems. Computing 65(3), 227–246 (2000)
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Krzyżanowski, P. (2023). Comparison of Block Preconditioners for the Stokes Problem with Discontinuous Viscosity and Friction. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2022. Lecture Notes in Computer Science, vol 13827. Springer, Cham. https://doi.org/10.1007/978-3-031-30445-3_27
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