Abstract

This study seeks to compare different combinations of spatial dicretization methods under a coupled spatial temporal framework in two dimensional wavenumber space. The aim is to understand the effect of dispersion and dissipation on both the convection and diffusion terms found in the two dimensional linearized compressible Navier–Stokes Equations (LCNSE) when a hybrid finite difference/Fourier spectral scheme is used in the x and y directions. In two dimensional wavespace, the spectral resolution becomes a function of both the wavenumber and the wave propagation angle, the orientation of the wave front with respect to the grid. At sufficiently low CFL number where temporal discretization effects can be neglected, we show that a hybrid finite difference/Fourier spectral schemes is more accurate than a full finite difference method for the two dimensional advection equation, but that this is not so in the case of the LCNSE. Group velocities, phase velocities as well as numerical amplification factor were used to quantify the numerical anisotropy of the dispersion and dissipation properties. Unlike the advection equation, the dispersion relation representing the acoustic modes of the LCNSE contains an acoustic terms in addition to its advection and viscous terms. This makes the group velocity in each spatial direction a function of the wavenumber in both spatial directions. This can lead to conditions for which a hybrid Fourier spectral/finite difference method can become less or more accurate than a full finite difference method. To better understand the comparison of the dispersion properties between a hybrid and full FD scheme, the integrated sum of the error between the numerical group velocity V^{*}_{grp,full} and the exact solution across all wavenumbers for a range of wave propagation angle is examined. In the comparison between a hybrid and full FD discretization schemes, the fourth order central (CDS4), fourth order dispersion relation preserving (DRP4) and sixth order central compact (CCOM6) schemes share the same characteristics. At low wave propagation angle, the integrated errors of the full FD and hybrid discretization schemes remain the same. At intermediate wave propagation angle, the integrated error of the full FD schemes become smaller than that of the hybrid scheme. At large wave propagation angle, the integrated error of the full FD schemes diverges while the integrated error of the hybrid discretization schemes converge to zero. At high reduced wavenumber and sufficiently low CFL number where temporal discretization error can be neglected, it was found that the numerical dissipation of the viscous term based on the CDS4, DRP4, CCOM6 and isotropy optimized CDS4 schemes (hbox {CDS4}_{{opt}}) schemes was lower than the actual physical dissipation, which is only a function of the cell Reynolds number. The wave propagation angle at which the numerical dissipation of the viscous term approaches its maximum occurs at pi /4 for the CDS4, DRP4, CCOM6 and hbox {CDS4}_{{opt}} schemes.

Highlights

  • In direct numerical simulation of turbulent flow, the ability to resolve all spatial and temporal scales of turbulence is directly associated with the choice of grid size, time step size as well as the resolution characteristic of the numerical schemes

  • In the case of the hybrid discretization, the propagation of dispersive errors from one spatial direction to the spatial direction based on the Fourier spectral discretization method is dependent on the wave propagation angle

  • For θw equal to π/8 and π/6, it was found that the y position of the wave packet for the full finite difference (FD) discretization case is closer to the exact (FS/Fourier spectral (FS)) solution as compared to the hybrid discretization case

Read more

Summary

42 Page 2 of 41

Journal of Scientific Computing (2021) 87:42 which is only a function of the cell Reynolds number. The wave propagation angle at which the numerical dissipation of the viscous term approaches its maximum occurs at π/4 for the CDS4, DRP4, CCOM6 and CDS4opt schemes. Keywords Fourier analysis · Finite difference · Fourier spectral · Explicit Runge–Kutta (RK) schemes · Computational Aero-acoustics (CAA)

Introduction
Modified Wavenumber of the Finite Difference and Fourier Spectral Schemes
Fourier Analysis of Advection Equation Under Full Discretization
42 Page 8 of 41
42 Page 10 of 41
42 Page 12 of 41
42 Page 14 of 41
42 Page 16 of 41
Dispersion Relation of the LCNSE
42 Page 18 of 41
Physical Group and Phase Velocities of the LCNSE
Numerical Group and Phase Velocities of the LCNSE
42 Page 20 of 41
Effect of Varying Spatial Discretization Schemes for the Convective Term
42 Page 22 of 41
Effect of Varying Spatial Discretization Schemes for the Diffusive Term
42 Page 28 of 41
Numerical Experiments
42 Page 32 of 41
Numerical Verification
42 Page 34 of 41
42 Page 36 of 41
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call