2015
DOI: 10.1080/10618562.2015.1021692
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Acceleration on stretched meshes with line-implicit LU-SGS in parallel implementation

Abstract: The implicit Lower-Upper Symmetric Gauss-Seidel solver is combined with the line-implicit technique to improve convergence on the very anisotropic grids necessary for resolving the boundary layers. The computational fluid dynamics code used is Edge, a Navier-Stokes flow solver for unstructured grids based on a dual grid and edge-based formulation. Multigrid acceleration is applied with the intention to accelerate the convergence to steady state. Lower-Upper Symmetric Gauss-Seidel works in parallel and gives be… Show more

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Cited by 9 publications
(3 citation statements)
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“…Linear-implicit scheme allows to make large time steps, with small quantity of exchanges between the blocks. Stability and efficiency of such linear-implicit schemes have been studied in literature, and there are examples of successful application of linear-implicit schemes to difficult practical tasks [25]. Another way to improve the calculation efficiency is the "in-flight" construction of a database to solve the equations of kinetics.…”
Section: -3mentioning
confidence: 99%
“…Linear-implicit scheme allows to make large time steps, with small quantity of exchanges between the blocks. Stability and efficiency of such linear-implicit schemes have been studied in literature, and there are examples of successful application of linear-implicit schemes to difficult practical tasks [25]. Another way to improve the calculation efficiency is the "in-flight" construction of a database to solve the equations of kinetics.…”
Section: -3mentioning
confidence: 99%
“…In the last decades, significant progress has been made in the development of implicit numerical algorithms for steady flow simulations. For example, the LU-SGS method (Yoon & Jameson 1988;Otero & Eliasson 2015a, 2015b, the GMRES algorithm with an LU-SGS preconditioner (Luo et al 1998), etc. What they have in common is that they cannot make full use of the compactness of DG methods which is favorable for massive parallel computations.…”
Section: Introductionmentioning
confidence: 99%
“…Usually in the implicit format, the approximate linearization of the nonlinear residual term enables us to obtain a system of linear equations. For instance, the approximate Jacobian strategies were used to solve both the nonlinear Navier-Stokes equations (e.g., Jespersen & Pulliam 1983;Barth 1987;Xia et al 2014;Otero & Eliasson 2015a, 2015b, and the MHD problem of low plasma β (e.g., Feng et al 2021). Compared with the true linearization that is complex and can be undefined in some cases, the approximate linearizations are much less costly and also perform well at large CFL numbers (e.g., Jespersen & Pulliam 1983;Barth 1987;Xia et al 2014).…”
Section: Introductionmentioning
confidence: 99%