Mitigation of post-shock oscillations induced by artificial viscosity in discontinuous finite element methods. (15th June 2022)

• Record Type: Journal Article
• Authors: Lodato, Guido; Vervisch, Luc; Chapelier, Jean-Baptiste
• Is Part Of: Computers & fluids. Volume 241(2022)
• Publication Date: 2022-06-15
• Subjects: High-order methods -- Spectral difference method -- Shock-capturing methods -- Shock detection -- Post-shock oscillations; Fluid dynamics -- Data processing -- Periodicals; 532.050285
• DOI: 10.1016/j.compfluid.2022.105491
• Languages: English
• ISSNs: 0045-7930

Abstract

Abstract: Current shock-capturing techniques for high-order discontinuous finite element methods based on modal energy shock sensors coupled to an artificial viscosity operator provide efficient and relatively simple solutions to tackle high-speed flows with discontinuities. Yet, due to inherent inhomogeneities in modal detection of shocks within elements, post-shock spurious oscillations can occur. These can be particularly severe in the case of slow-moving shocks. In the present paper, the origin of such oscillations is identified in the way the artificial viscosity is distributed across shocks by the modal shock detector. A novel approach is hence proposed to mitigate post-shock oscillations by introducing, via exponential averaging, a time delay in the artificial viscosity injection. Numerical one- and two-dimensional tests will show that a calibration of the time delay based on the shock propagation velocity can suppress, almost completely, post-shock oscillations, even in the most severe cases. Inspired by machine learning techniques, an efficient way to evaluate the propagation velocities of different shocks is also proposed, leading to a method to suppress post-shock oscillations, induced by the artificial viscosity, which is extremely simple, and relatively inexpensive. Highlights: An approach is proposed to reduce post-shock oscillations behind slow-moving shocks The reduction is obtained by a shock speed based delay in the artificial viscosity Machine learning tools are used to evaluate the speed of different shocks in the flow 1D and 2D tests show consistent post-shock oscillation reductions up to 70-100% The method is applicable to a wide range of discontinuous finite elements methods