Well-balanced Point-Average-Moment PolynomiAl-interpreted (PAMPA) Methods for Shallow Water Equations on Triangular Meshes
<|reference_start|>Well-balanced Point-Average-Moment PolynomiAl-interpreted (PAMPA) Methods for Shallow Water Equations on Triangular Meshes: In this paper, we develop novel well-balanced Point-Average-Moment PolynomiAl-interpreted (PAMPA) numerical methods for solving the two-dimensional shallow water equations on triangular meshes. The proposed PAMPA methods use a globally continuous representation of the variables, with degree of freedoms (DoFs) consisting of point values on the edges and average values within each triangular element. The update of cell averages is carried out using a conservative form of the partial differential equations (PDEs), while the point values are updated using a non-conservative formulation. This non-conservative formulation can be expressed in terms of either conservative or primitive variables. This new class of schemes is proved to be well-balanced and positivity-preserving. We validate the performance of the proposed methods through a series of numerical experiments. The numerical results are as expected and confirm that the performance of the PAMPA method using primitive variables in the non-conservative formulation is comparable to that using only the conservative variables. This work represents a step forward in the development and application of PAMPA methods for solving hyperbolic balance laws.<|reference_end|>
@article{liu2024well-balanced,
    title={Well-balanced Point-Average-Moment PolynomiAl-interpreted (PAMPA)
  Methods for Shallow Water Equations on Triangular Meshes},
    author={Yongle Liu},
    journal={arXiv preprint arXiv:2409.12606},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.12606},
    primaryClass={math.NA cs.NA}
}