Spectral shock detection for dynamically developing discontinuities
Joanna Piotrowska, Jonah M. Miller

TL;DR
This paper enhances spectral shock detection methods to dynamically identify true discontinuities in solutions of PDEs, improving accuracy in simulations involving evolving shocks and reducing spurious oscillations.
Contribution
It introduces improved techniques for detecting and handling developing discontinuities in spectral methods, addressing challenges of dynamic shock formation and oscillation suppression.
Findings
Successfully detects true shocks in Burgers' equation
Reduces spurious oscillations in spectral solutions
Automatically identifies cases needing post-processing
Abstract
Pseudospectral schemes are a class of numerical methods capable of solving smooth problems with high accuracy thanks to their exponential convergence to the true solution. When applied to discontinuous problems, such as fluid shocks and material interfaces, due to the Gibbs phenomenon, pseudospectral solutions lose their superb convergence and suffer from spurious oscillations across the entire computational domain. Luckily, there exist theoretical remedies for these issues which have been successfully tested in practice for cases of well defined discontinuities. We focus on one piece of this procedure---detecting a discontinuity in spectral data. We show that realistic applications require treatment of discontinuities dynamically developing in time and that it poses challenges associated with shock detection. More precisely, smoothly steepening gradients in the solution spawn spurious…
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Taxonomy
TopicsSeismic Imaging and Inversion Techniques · Computational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Turbulent Flows
