Multilevel Variable-Block Schur-Complement-Based Preconditioning for the Implicit Solution of the Reynolds- Averaged Navier-Stokes Equations Using Unstructured Grids

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Název: Multilevel Variable-Block Schur-Complement-Based Preconditioning for the Implicit Solution of the Reynolds- Averaged Navier-Stokes Equations Using Unstructured Grids
Autoři: Carpentieri, Bruno, Bonfiglioli, Aldo
Přispěvatelé: Carpentieri, Bruno, Adela Ionescu, Bonfiglioli, Aldo
Informace o vydavateli: IntechOpen Limited
GBR
Londra
Rok vydání: 2018
Sbírka: Università degli Studi della Basilicata: CINECA IRIS
Témata: computational fluid dynamics, Reynolds-averaged Navier-Stokes equations, Newton-Krylov methods, linear systems, sparse matrices, algebraic preconditioners, incomplete LU factorization, multilevel methods
Popis: Implicit methods based on the Newton’s rootfinding algorithm are receiving an increasing attention for the solution of complex Computational Fluid Dynamics (CFD) applications due to their potential to converge in a very small number of iterations. This approach requires fast convergence acceleration techniques in order to compete with other conventional solvers, such as those based on artificial dissipation or upwind schemes, in terms of CPU time. In this chapter, we describe a multilevel variable-block Schur-complement-based preconditioning for the implicit solution of the Reynolds-averaged Navier-Stokes equations using unstructured grids on distributed-memory parallel computers. The proposed solver detects automatically exact or approximate dense structures in the linear system arising from the discretization, and exploits this information to enhance the robustness and improve the scalability of the block factorization. A complete study of the numerical and parallel performance of the solver is presented for the analysis of turbulent Navier-Stokes equations on a suite of threedimensional test cases.
Druh dokumentu: book part
Jazyk: English
Relation: info:eu-repo/semantics/altIdentifier/isbn/978-953-51-3790-0; info:eu-repo/semantics/altIdentifier/isbn/978-953-51-3791-7; ispartofbook:Computational Fluid Dynamics Basic Instruments and Applications in Science; firstpage:43; lastpage:72; numberofpages:30; alleditors:Adela Ionescu; http://hdl.handle.net/11563/133826
DOI: 10.5772/intechopen.72043
Dostupnost: http://hdl.handle.net/11563/133826
https://doi.org/10.5772/intechopen.72043
https://www.intechopen.com/books/computational-fluid-dynamics-basic-instruments-and-applications-in-science/multilevel-variable-block-schur-complement-based-preconditioning-for-the-implicit-solution-of-the-re
Rights: info:eu-repo/semantics/openAccess
Přístupové číslo: edsbas.BB3A889E
Databáze: BASE
Popis
Abstrakt:Implicit methods based on the Newton’s rootfinding algorithm are receiving an increasing attention for the solution of complex Computational Fluid Dynamics (CFD) applications due to their potential to converge in a very small number of iterations. This approach requires fast convergence acceleration techniques in order to compete with other conventional solvers, such as those based on artificial dissipation or upwind schemes, in terms of CPU time. In this chapter, we describe a multilevel variable-block Schur-complement-based preconditioning for the implicit solution of the Reynolds-averaged Navier-Stokes equations using unstructured grids on distributed-memory parallel computers. The proposed solver detects automatically exact or approximate dense structures in the linear system arising from the discretization, and exploits this information to enhance the robustness and improve the scalability of the block factorization. A complete study of the numerical and parallel performance of the solver is presented for the analysis of turbulent Navier-Stokes equations on a suite of threedimensional test cases.
DOI:10.5772/intechopen.72043