P
Peter Eliasson
Researcher at Swedish Defence Research Agency
Publications - 49
Citations - 719
Peter Eliasson is an academic researcher from Swedish Defence Research Agency. The author has contributed to research in topics: Turbulence & Aerodynamics. The author has an hindex of 13, co-authored 46 publications receiving 665 citations.
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Finite volume methods, unstructured meshes and strict stability for hyperbolic problems
TL;DR: The unstructured node centered finite volume method is analyzed and it is shown that it can be interpreted in the framework of summation by parts operators and introducing boundary conditions weakly produces strictly stable formulations.
Journal ArticleDOI
The engineering of multiblock/multigrid software for Navier-Stokes flows on structured meshes
TL;DR: EURANUS—a general software software system for the simulation of 3-D Reynolds-averaged Navier-Stokes flows about complex geometries, being developed for the European Space Agency for use as a major tool in its aerothermodynamic design work is described.
Journal ArticleDOI
Weak and strong wall boundary procedures and convergence to steady-state of the Navier-Stokes equations
TL;DR: It is shown that the weak implementation is superior and enhances the convergence to steady-state for coarse meshes, and it is demonstrated that all the stable approaches produce the same convergence rate as the mesh size goes to zero.
Proceedings ArticleDOI
Application of a line-implicit scheme on stretched unstructured grids
TL;DR: The paper focuses on the implementation of the line-implicit scheme starting from an explicit multigrid flow solver and on the application of it, and the gain is quantified in terms of reduction of iterations and CPU time.
Proceedings ArticleDOI
The Influence of Weak and Strong Solid Wall Boundary Conditions on the Convergence to Steady-State of the Navier-Stokes Equations
TL;DR: The influence of weak and strong solid wall boundary conditions on the convergence to the Navier-Stokes equations has been studied in this article, where strong and weak boundary conditions have been shown to influence the convergence.