Volume 52, Number 6, November-December 2018
|Page(s)||2215 - 2245|
|Published online||01 February 2019|
Stability of correction procedure via reconstruction with summation-by-parts operators for Burgers' equation using a polynomial chaos approach
Universität Zürich, Institut für Mathematik, Winterthurerstrasse 190, 8057, Zürich, Switzerland
2 TU Braunschweig, Institute Computational Mathematics, Universitätsplatz 2, 38106 Braunschweig, Germany
* Corresponding author: email@example.com
Accepted: 20 November 2018
In this paper, we consider Burgers’ equation with uncertain boundary and initial conditions. The polynomial chaos (PC) approach yields a hyperbolic system of deterministic equations, which can be solved by several numerical methods. Here, we apply the correction procedure via reconstruction (CPR) using summation-by-parts operators. We focus especially on stability, which is proven for CPR methods and the systems arising from the PC approach. Due to the usage of split-forms, the major challenge is to construct entropy stable numerical fluxes. For the first time, such numerical fluxes are constructed for all systems resulting from the PC approach for Burgers' equation. In numerical tests, we verify our results and show also the performance of the given ansatz using CPR methods. Moreover, one of the simulations, i.e. Burgers’ equation equipped with an initial shock, demonstrates quite fascinating observations. The behaviour of the numerical solutions from several methods (finite volume, finite difference, CPR) differ significantly from each other. Through careful investigations, we conclude that the reason for this is the high sensitivity of the system to varying dissipation. Furthermore, it should be stressed that the system is not strictly hyperbolic with genuinely nonlinear or linearly degenerate fields.
Mathematics Subject Classification: 65M12 / 65M70 / 65M60 / 65M08 / 65M06
Key words: Hyperbolic conservation laws / polynomial chaos method / summation-by-parts / correction procedure via reconstruction / entropy stability
© EDP Sciences, SMAI 2019
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