COMP-PHNANAMar 1, 2019

A space-time smooth artificial viscosity method with wavelet noise indicator and shock collision scheme, Part 1: the 1-D case

arXiv:1806.0802319 citationsh-index: 36
Originality Incremental advance
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For computational fluid dynamics, this provides an incremental improvement to shock-capturing schemes by enhancing robustness and accuracy in specific scenarios like shock-wall collision.

The paper extends the C-method for artificial viscosity in 1-D gas dynamics, adding a collision indicator for shock-wall bounce and a wavelet noise detector, achieving improved accuracy and handling of extreme discontinuities (up to nine orders of magnitude) while removing high-frequency noise and addressing the wall heating phenomenon.

In this first part of two papers, we extend the C-method developed in [40] for adding localized, space-time smooth artificial viscosity to nonlinear systems of conservation laws that propagate shock waves, rarefaction waves, and contact discontinuities in one space dimension. For gas dynamics, the C-method couples the Euler equations to a scalar reaction-diffusion equation, whose solution $C$ serves as a space-time smooth artificial viscosity indicator. The purpose of this paper is the development of a high-order numerical algorithm for shock-wall collision and bounce-back. Specifically, we generalize the original C-method by adding a new collision indicator, which naturally activates during shock-wall collision. Additionally, we implement a new high-frequency wavelet-based noise detector together with an efficient and localized noise removal algorithm. To test the methodology, we use a highly simplified WENO-based discretization scheme. We show that our scheme improves the order of accuracy of our WENO algorithm, handles extremely strong discontinuities (ranging up to nine orders of magnitude), allows for shock collision and bounce back, and removes high frequency noise. The causes of the well-known "wall heating" phenomenon are discussed, and we demonstrate that this particular pathology can be effectively treated in the framework of the C-method. This method is generalized to two space dimensions in the second part of this work [41].

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