1997
DOI: 10.1002/(sici)1097-0363(19971230)25:12<1347::aid-fld608>3.0.co;2-c
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GMRES physics-based preconditioner for all Reynolds and Mach numbers: numerical examples

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Cited by 6 publications
(3 citation statements)
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“…Such an approach, very popular in the context of scientific computing for a large class of flow regimes and pattern (e.g. [25,26,33,34]), is able to offer invaluable advantages with respect to the computational industry standard for turbomachine aerodynamics. With reference to the numerical oscillations and instabilities that might be encountered when the flow involves high Reynolds and/or sharp boundary layers, the proposed stabilized formulation follows the most notable and referenced techniques based on PG weighted residual approaches.…”
Section: Numerical Formulationmentioning
confidence: 99%
“…Such an approach, very popular in the context of scientific computing for a large class of flow regimes and pattern (e.g. [25,26,33,34]), is able to offer invaluable advantages with respect to the computational industry standard for turbomachine aerodynamics. With reference to the numerical oscillations and instabilities that might be encountered when the flow involves high Reynolds and/or sharp boundary layers, the proposed stabilized formulation follows the most notable and referenced techniques based on PG weighted residual approaches.…”
Section: Numerical Formulationmentioning
confidence: 99%
“…The preconditioning matrix applied here was proposed by Choi and Merkle [3] to solve steady compressible flows using the Finite Volume method. Nigro et al [16,17] applied this preconditioning matrix to formulate a stabilized Finite Element Method (FEM) able to solve steady compressible flow problems. Since we are interested in the resolution of problems with deformable domains, an Arbitrary Lagrangian Eulerian (ALE) strategy is incorporated to the equations.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, we obtain the following expression for the characteristic polynomial: The eigenvalues of matrix G are given by Equation (16).…”
mentioning
confidence: 99%