Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

23
Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids D.N. Vedder 1103784

description

Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids. D.N. Vedder 1103784. Overview. Computational AeroAcoustics Spatial discretization Time integration Cut-Cell method Results and proposals. CFD vs AeroAcoustics - PowerPoint PPT Presentation

Transcript of Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Page 1: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Numerical Methods for Acoustic Problems with Complex

Geometries Based on Cartesian Grids

D.N. Vedder1103784

Page 2: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Overview

• Computational AeroAcoustics

• Spatial discretization

• Time integration

• Cut-Cell method

• Results and proposals

Page 3: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Computational AeroAcoustics(AeroAcoustics)

• CFD vs AeroAcoustics

AeroAcoustics: Sound generation and propagation in association with fluid dynamics.

Lighthill’s and Ffowcs Williams’ Acoustic Analogies

Page 4: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Computational AeroAcoustics(Acoustics)

• Sound modelled as an inviscid fluid phenomena Euler equations

• Acoustic waves are small disturbances Linearized Euler equations:

Page 5: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Computational AeroAcoustics(Dispersion relation)

• A relation between angular frequency and wavenumber.

• Easily determined by Fourier transforms

Page 6: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (DRP)

• Dispersion-Relation-Preserving scheme

• How to determine the coefficients?

Page 7: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (DRP)

1. Fourier transform

aj = -a-j

Page 8: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (DRP)

2. Taylor seriesMatching coefficients up to order 2(N – 1)th

Leaves one free parameter, say ak

Page 9: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (DRP)

3. Optimizing

Page 10: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (DRP)

Dispersive properties:

Page 11: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (OPC)

• Optimized-Prefactored-Compact scheme

1. Compact scheme

Fourier transforms and Taylor series

Page 12: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (OPC)

2. Prefactored compact scheme

Determined by

Page 13: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (OPC)

3. Equivalent with compact scheme

Advantages:1. Tridiagonal system two bidiagonal systems (upper and lower triangular)2. Stencil needs less points

Page 14: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (OPC)

• Dispersive properties:

Page 15: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Spatial discretization (Summary)

• Two optimized schemes– Explicit DRP scheme– Implicit OPC scheme

• (Dis)Advantages– OPC: higher accuracy and smaller stencil– OPC: easier boundary implementation– OPC: solving systems

• Finite difference versus finite volume approach

Page 16: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Time Integration (LDDRK)

• Low Dissipation and Dispersion Runge-Kutta scheme

Page 17: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Time Integration (LDDRK)

• Taylor series• Fourier transforms• Optimization

• Alternating schemes

Page 18: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Time Integration (LDDRK)

Dissipative and dispersive properties:

Page 19: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Cut-Cell Method

• Cartesian grid• Boundary implementation

Page 20: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Cut-Cell Method

• fn and fw with boundary

stencils

• fint with boundary condition

• fsw and fe with interpolation polynomials

fn

fw

fsw fint

fe

Page 21: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Test case

Reflection on a solid wall• 6/4 OPC and 4-6-LDDRK• Outflow boundary conditions

Page 22: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Proposals

• Resulting order of accuracy

• Impact of cut-cell procedure on it

• Richardson/least square extrapolation– Improvement of solution

Page 23: Numerical Methods for Acoustic Problems with Complex Geometries Based on Cartesian Grids

Questions?