Finite Volume Method I.
Code  Completion  Credits  Range  Language 

2011073  Z,ZK  4  3P+1C  Czech 
 Lecturer:
 Jiří Fürst (guarantor)
 Tutor:
 Jiří Fürst (guarantor)
 Supervisor:
 Department of Technical Mathematics
 Synopsis:

The subject deals with the basics of the finite volume method for discretization of partial differential equations (PDE) with special attention to the equations arising from the fluid mechanics.
1.Conservation laws in the fluid mechanics, the formulation with PDEs. Linear convection, initial and initialboundary value problems (IBVP), analytical solution.
2.Nonlinear Burgers’ equation, formation of shocks, strong and weak solutions.
3.Finite volume method (FVM) for onedimensional problems, basic low order schemes, stability, consistency, and convergence (Lax theorem) for linear problems.
4.Higher order schemes, concept of artificial viscosity.
5.Stability and convergence for nonlinear scalar problems. monotone schemes, TVD schemes, reconstructions with limiters.
6.Linear hyperbolic systems, characteristic variables, formulation of IBVP, boundary conditions, basic numerical methods for hyperbolic systems.
7.Nonlinear hyperbolic system, Riemann problem, Godunov’s method, numerical flux based on the (approximate) Riemann solvers.
8.Shallow water equation, HLL flux, application of FVM to the solution shallow water equations.
9.Euler equation, numerical fluxes for Euler equations (Roe, HLL, AUSM)
10.Approximation of source and diffusive terms.
11.Implicit method for flows of compressible fluids.
12.Formulation and demonstration of solution of selected problems.
13.Formulation and demonstration of solution of selected problems.
 Requirements:
 Syllabus of lectures:

1.Conservation laws in the fluid mechanics, the formulation with PDEs. Linear convection, initial and initialboundary value problems (IBVP), analytical solution.
2.Nonlinear Burgers’ equation, formation of shocks, strong and weak solutions.
3.Finite volume method (FVM) for onedimensional problems, basic low order schemes, stability, consistency, and convergence (Lax theorem) for linear problems.
4.Higher order schemes, concept of artificial viscosity.
5.Stability and convergence for nonlinear scalar problems. monotone schemes, TVD schemes, reconstructions with limiters.
6.Linear hyperbolic systems, characteristic variables, formulation of IBVP, boundary conditions, basic numerical methods for hyperbolic systems.
7.Nonlinear hyperbolic system, Riemann problem, Godunov’s method, numerical flux based on the (approximate) Riemann solvers.
8.Shallow water equation, HLL flux, application of FVM to the solution shallow water equations.
9.Euler equation, numerical fluxes for Euler equations (Roe, HLL, AUSM)
10.Approximation of source and diffusive terms.
11.Implicit method for flows of compressible fluids.
12.Formulation and demonstration of solution of selected problems.
13.Formulation and demonstration of solution of selected problems.
 Syllabus of tutorials:
 Study Objective:
 Study materials:

J. Fürst, K. Kozel: Numerické metody řešení problémů proudění I, skripta ČVUT, 2001
J. Fořt, K. Kozel: Numerické metody řešení problémů proudění II, skripta ČVUT, 2002
J. Fořt, K. Kozel, P. Louda, J. Fürst: Numerické metody řešení problémů proudění III, skripta ČVUT, 2004
J.H. Ferziger, M. Peric: Computational Methods for Fluid Dynamics, Springer 2002
J. Blazek: Computational Fluid Dynamics: Principles and Applications, Elsevier, 2001
E.F.Toro: Riemann Solvers and Numerical Methods for Fluid Dynamics: A Practical Introduction, Springer 2009
R. J. LeVeque: Finite Volume Methods for Hyperbolic Problems, Cambridge University Press, New York, 2007
C. Hirsh: Numerical Computation of Internal & External Flows, vol. 1, Elsevier, 2007
 Note:
 Timetable for winter semester 2019/2020:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Fri Thu Fri  Timetable for summer semester 2019/2020:
 Timetable is not available yet
 The course is a part of the following study plans: