Provably stable flux reconstruction high-order methods on curvilinear elements
Provably stable flux reconstruction high-order methods on curvilinear elements
复制标题
曲线元素上可证明稳定的通量重建高阶方法
DOI:
10.1016/j.jcp.2022.111259
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发表时间:
2022
影响因子:
4.1
通讯作者:
Carpenter, Mark H.
中科院分区:
文献类型:
--
作者:
Cicchino, Alexander;Del Rey Fernández, David C.;Nadarajah, Siva;Chan, Jesse;Carpenter, Mark H.
Provably stable flux reconstruction (FR) schemes are derived for partial differential equations cast in curvilinear coordinates. Specifically, energy stable flux reconstruction (ESFR) schemes are considered as they allow for design flexibility as well as stability proofs for the linear advection problem on affine elements. Additionally, the curvilinear metric split-form for a linear physical flux is examined as it enables the development of energy stability proofs. The first critical step proves, that in curvilinear coordinates, the discontinuous Galerkin (DG) conservative and non-conservative forms are inherently different–even under exact integration and analytically exact metric terms. This analysis demonstrates that the split form is essential to developing provably stable DG schemes on curvilinear coordinates and motivates the construction of metric dependent ESFR correction functions in each element. Furthermore, the provably stable FR schemes differ from schemes in the literature that only apply the ESFR correction functions to surface terms or on the conservative form, and instead incorporate the ESFR correction functions on the full split form of the equations. It is demonstrated that the scheme is divergent when the correction functions are only used for surface reconstruction in curvilinear coordinates. We numerically verify the stability claims for our proposed FR split forms and compare them to ESFR schemes in the literature. Lastly, the newly proposed provably stable FR schemes are shown to obtain optimal orders of convergence. The scheme loses the orders of accuracy at the equivalent correction parameter valuecas that of the one-dimensional ESFR scheme.