High Order Schemes for Resolving Waves: Number of Points per Wavelength

For energetic flows there are many advantages of high order schemes over low order schemes. Here we examine a previously unknown advantage. It is commonly thought that the number of points per wavelength in order to obtain a given error in a numerical approximation depends only on runtime and the order of the approximation. Using truncation error arguments and examples we will show that it is not a constant and depends also on the wavenumber. This dependence on the numerical order and wavenumber strongly favors high order schemes for use in flows which have significant energy in the high modes such at Rayleigh–Taylor and Richtmyer–Meshkov instabilities.

[1]  Leland Jameson,et al.  Wavelet Analysis and Ocean Modeling: A Dynamically Adaptive Numerical Method ''WOFD-AHO'' , 2000 .

[2]  L. Jameson Numerical Errors in DNS: Total Run-Time Error , 2000 .

[3]  Wai Sun Don,et al.  Numerical simulation of shock-cylinder interactions I.: resolution , 1995 .

[4]  Chi-Wang Shu Essentially non-oscillatory and weighted essentially non-oscillatory schemes for hyperbolic conservation laws , 1998 .

[5]  L. Jameson Direct Numerical Simulation DNS: Maximum Error as a Function of Mode Number , 2000 .

[6]  David Gottlieb,et al.  Spectral Simulation of Supersonic Reactive Flows , 1998 .

[7]  Siam J. Sci,et al.  A WAVELET-OPTIMIZED, VERY HIGH ORDER ADAPTIVE GRID AND ORDER NUMERICAL METHOD , 1998 .

[8]  H. Kreiss,et al.  Comparison of accurate methods for the integration of hyperbolic equations , 1972 .

[9]  Jan S. Hesthaven,et al.  A Wavelet Optimized Adaptive Multi-Domain Method , 1998 .

[10]  J. S. T. W. H. and,et al.  High-order/spectral methods on unstructured grids I. Time-domain solution of Maxwell's equations , 2001 .

[11]  Chi-Wang Shu,et al.  On the Gibbs phenomenon III: recovering exponential accuracy in a sub-interval from a spectral partial sum of a piecewise analytic function , 1996 .

[12]  Chi-Wang Shu,et al.  High Order ENO and WENO Schemes for Computational Fluid Dynamics , 1999 .

[13]  Paul E. Dimotakis,et al.  Transition stages of Rayleigh–Taylor instability between miscible fluids , 2000, Journal of Fluid Mechanics.

[14]  Chi-Wang Shu,et al.  On the Gibbs Phenomenon and Its Resolution , 1997, SIAM Rev..