Stability of Navier–Stokes discretizations on collocated meshes of high anisotropy and the performance of algebraic multigrid solvers

2006 ◽  
Vol 51 (12) ◽  
pp. 1419-1438 ◽  
Author(s):  
R. Webster
2014 ◽  
Vol 136 (8) ◽  
Author(s):  
Lucian Hanimann ◽  
Luca Mangani ◽  
Ernesto Casartelli ◽  
Thomas Mokulys ◽  
Sebastiano Mauri

This paper describes the development and validation steps of a characteristics-based explicit along with a novel fully implicit mixing plane implementation for turbomachinery applications. The framework is an unstructured 3D RANS in-house modified solver, based on open-source libraries. Particular attention was paid to mass-conservation, accurate variables interpolation, and algorithm stability in order to improve robustness and convergence. By introducing a specific interface, allowing the use of algebraic multigrid solvers together with multiprocessor computation, a speed up of the numerical solution procedure was achieved. The validation of both mixing plane algorithms is carried out on an industrial radial compressor and a cold air 1.5 stages axial turbine.


2004 ◽  
Vol 26 (1) ◽  
pp. 31-54 ◽  
Author(s):  
H. De Sterck ◽  
Thomas A. Manteuffel ◽  
Stephen F. McCormick ◽  
Luke Olson

2015 ◽  
Vol 70 (5) ◽  
pp. 1162-1181 ◽  
Author(s):  
Hui Liu ◽  
Bo Yang ◽  
Zhangxin Chen

2020 ◽  
Vol 23 (1-4) ◽  
Author(s):  
Bram Metsch ◽  
Fabian Nick ◽  
Jörg Kuhnert

AbstractWe investigate algebraic multigrid (AMG) methods for the linear systems arising from the discretization of Navier–Stokes equations via the finite pointset method. In the segregated approach, three pressure systems and one velocity system need to be solved. In the coupled approach, one of the pressure systems is coupled with the velocity system, leading to a coupled velocity-pressure saddle point system. The discretization of the differential operators used in FPM leads to non-symmetric matrices that do not have the M-matrix property. Even though the theoretical framework for many AMG methods requires these properties, our AMG methods can be successfully applied to these matrices and show a robust and scalable convergence when compared to a BiCGStab(2) solver.


AIAA Journal ◽  
10.2514/2.689 ◽  
1999 ◽  
Vol 37 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Jonathan M. Weiss ◽  
Joseph P. Maruszewski ◽  
Wayne A. Smith

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