Lehrinhalte
basics of continuum mechanical flow modelling, numerical grids, grid generation, finite-volume methods for complex geometries,
finite-volume methods for incompressible flows, upwind methods, flux-blending, pressure-correction methods, numerical methods for
turbulent flows, basics of statistical turbulence modelling (RANS), k-eps model, large-eddy-simulation (LES), sparse linear and nonlinear system solvers, ILU methods, conjugate gradient methods, preconditioning, adaptivity, multigrid methods, sparse grids, parallel computing, lattice-Boltzmann methods.
Literature
M. Schäfer: Computational Engineering - Introduction to Numerical Methods, Second Edition, Springer, Berlin, 2022.
M. Schäfer: Numerik im Maschinenbau, Springer, Berlin, 1999.
Voraussetzungen
contents of the introductive course "Numerical Methods" (summer term)
Erwartete Teilnehmerzahl
80
Online-Angebote
moodle
basics of continuum mechanical flow modelling, numerical grids, grid generation, finite-volume methods for complex geometries,
finite-volume methods for incompressible flows, upwind methods, flux-blending, pressure-correction methods, numerical methods for
turbulent flows, basics of statistical turbulence modelling (RANS), k-eps model, large-eddy-simulation (LES), sparse linear and nonlinear system solvers, ILU methods, conjugate gradient methods, preconditioning, adaptivity, multigrid methods, sparse grids, parallel computing, lattice-Boltzmann methods.
Literature
M. Schäfer: Computational Engineering - Introduction to Numerical Methods, Second Edition, Springer, Berlin, 2022.
M. Schäfer: Numerik im Maschinenbau, Springer, Berlin, 1999.
Voraussetzungen
contents of the introductive course "Numerical Methods" (summer term)
Erwartete Teilnehmerzahl
80
Online-Angebote
moodle
- Lehrende: Michael Schäfer
Semester: WT 2022/23