Shock Regularization with Smoothness-Increasing Accuracy-Conserving Dirac-Delta Polynomial Kernels

B. W. Wissink, G. B. Jacobs*, J. K. Ryan, W. S. Don, E. T.A. van der Weide

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

10 Citations (Scopus)

Abstract

A smoothness-increasing accuracy conserving filtering approach to the regularization of discontinuities is presented for single domain spectral collocation approximations of hyperbolic conservation laws. The filter is based on convolution of a polynomial kernel that approximates a delta-sequence. The kernel combines a kth order smoothness with an arbitrary number of m zero moments. The zero moments ensure a mth order accurate approximation of the delta-sequence to the delta function. Through exact quadrature the projection error of the polynomial kernel on the spectral basis is ensured to be less than the moment error. A number of test cases on the advection equation, Burger’s equation and Euler equations in 1D and 2D show that the filter regularizes discontinuities while preserving high-order resolution away from a discontinuity.

Original languageEnglish
Pages (from-to)579-596
Number of pages18
JournalJournal of Scientific Computing
Volume77
Issue number1
Early online date30 Apr 2018
DOIs
Publication statusPublished - 1 Oct 2018

User-Defined Keywords

  • Chebyshev collocation
  • Dirac-Delta
  • Filtering
  • Hyperbolic conservation laws
  • Regularization
  • Shock capturing

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