Team
Principal Investigators:
- Christian Klingenberg,
Julius-Maximilians-Universität Würzburg, Institute of Mathematics
Project staff:
- Lisa Lechner (Julius-Mayimilians-Universität Würzburg)
DFG Cooperation partner:
- Wasilij Barsukow (University of Bordeaux, France)
Abstract
Multi-dimensional conservation laws possess many more phenomena than their one-dimensional counterparts, for example turbulent flow with vortices and non-trivial stationary states. At the same time, computational resources are limited, and refinement is particularly costly for multi-dimensional simulations. Currently available numerical methods are only able to capture multi-dimensional phenomena upon excessive grid refinement. This is because they add numerical diffusion that is rooted in one- dimensional thinking, and also because the fluxes are computed using Riemann problems. For subsonic flow, the latter spoil the solution. We propose a new hybrid finite element – finite volume method that achieves upwinding by locally evolving continuous data, instead of solving a Riemann problem. Its degrees of freedom are cell averages/moments and point values located at cell interfaces, the lat- ter being shared between adjacent cells. The evolution of the averages is conservative, which means that the method is able to converge to the weak solution. The lowest (3rd) order method can be found in the literature under the name of Active Flux and has been shown to achieve superior results on coarse grids, because it is structure preserving. In our new method, the evolution of higher moments makes it arbitrarily high-order accurate. Currently, Active Flux methods are available for linear, or one- dimensional problems. This project aims at developing our new method for multi-dimensional systems of conservation laws, in particular the full multi-dimensional Euler equations and analyzing its structure preservation properties. This project will be done in close cooperation with Wasilij Barsukow / University of Bordeaux, France.
Publications:
2026
Wasilij Barsukow, Praveen Chandrashekar; Christian Klingenberg; Lisa Lechner: "A generalized Active Flux method of arbitrarily high order in two dimensions", Computers & Fluids (2026) https://tinyurl.com/24yahz89
2025
Luis Kaiser, Richard Tsai, Christian Klingenberg: “Efficient Numerical Wave Propagation Enhanced by an End-to-End Deep Learning Model", Proceedings of 'Numerical Mathematics and Advanced Applications (ENUMATH 2023)', Springer Lecture Notes in Computational Science and Engineering, vol. 154, pp. 12 - 22, https://tinyurl.com/4nay64e8 (2025)
Abgrall, R., Barsukow, W. & Klingenberg, C. A Semi-discrete Active Flux Method for the Euler Equations on Cartesian Grids. J Sci Comput 102, 36 (2025). https://doi.org/10.1007/s10915-024-02749-1
Christian Klingenberg, Simon Markfelder, Emil Wiedemann: "Maximal turbulence as a selection criterion for measure-valued solutions", submitted, https://arxiv.org/abs/2503.20343 (2025)
Junming Duan, Wasilij Barsukow, Christian Klingenberg: Active flux methods for hyperbolic conservation laws - flux vector splitting and bound-preservation, SIAM Journal on Scientific Computing, https://arxiv.org/abs/2411.00065, (2025)
2024
Junming Duan, Wasilij Barsukow, Christian Klingenberg: Active flux methods for hyperbolic conservation laws – flux vector splitting and bound-preservation: two-dimensional case, arXiv.2407.13380, submitted
Junming Duan, Wasilij Barsukow, Christian Klingenberg: Active flux methods for hyperbolic conservation laws – flux vector splitting and bound-preservation: one-dimensional case, arXiv:2405.02447, submitted