An Extended HLLD Riemann Solver for the Numerical Simulation of Magneto‐Hydrodynamics
ABSTRACT By revisiting the derivation of multi‐state HLL approximate Riemann solver for the ideal magneto‐hydrodynamics, an extended HLLD Riemann solver is constructed based on the assumption that the normal velocity is constant over the Riemann fan, which is bounded by two fast waves, and separated by two compound waves and a middle contact wave. Compared with the HLLD solver, the slow waves are allowed to persist inside the Riemann fan, so that the two Alfvén waves are replaced by the two compound waves that are the merging product of the Alfvén and slow waves. Conseq uently, the corresponding wave speeds are chosen to be an interpolation between the Alfvén and slow waves for simplicity. The numerical tests showed that the extended HLLD solver (called HLLD‐P) has better performance for the capture of slow waves than the HLLD solver, and exhibits overall better accuracy in some situations where the slow waves exist. However, the new solver does not capture the Alfvén wave as well as the HLLD solver once the estimated speeds of compound waves deviate from the Alfvén wave speeds. Overall, the HLLD‐P solver is fully compatible with the HLLD solver as long as the compound waves degenerate to the Alfvén waves inside the Riemann fan. It is indicated that the HLLD‐P solver can be used for the various applications of MHD simulation, especially for those cases where the slow waves are expected to be generated.
Authors
- Xiaocheng Guo (ORCID: https://orcid.org/0000-0003-0541-0597)
- Xinyue Xi
- Chi Wang (ORCID: https://orcid.org/0000-0001-6991-9398)
Institutions
- Chinese Academy of Sciences (CN)
- National Space Science Center (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- International Journal for Numerical Methods in Fluids
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1002/fld.5405
- Primary Topic
- Computational Fluid Dynamics and Aerodynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China