NANAJun 20, 2017

Conservative and Stable Degree Preserving SBP Operators for Non-Conforming Meshes

arXiv:1611.0097919 citations
AI Analysis

This work addresses a key limitation in high-order SBP methods for non-conforming meshes, enabling more accurate simulations of hyperbolic conservation laws in complex geometries.

The authors present a novel class of summation-by-parts (SBP) operators that maintain conservation and energy stability for non-conforming meshes without the loss of polynomial degree, which previously caused reduced solution accuracy. The new degree-preserving discretizations require a norm matrix of degree ≥ 2p, and are verified through mathematical analysis and numerical tests.

Non-conforming numerical approximations offer increased flexibility for applications that require high resolution in a localized area of the computational domain or near complex geometries. Two key properties for non-conforming methods to be applicable to real world applications are conservation and energy stability. The summation-by-parts (SBP) property, which certain finite-difference and discontinuous Galerkin methods have, finds success for the numerical approximation of hyperbolic conservation laws, because the proofs of energy stability and conservation can discretely mimic the continuous analysis of partial differential equations. In addition, SBP methods can be developed with high-order accuracy, which is useful for simulations that contain multiple spatial and temporal scales. However, existing non-conforming SBP schemes result in a reduction of the overall degree of the scheme, which leads to a reduction in the order of the solution error. This loss of degree is due to the particular interface coupling through a simultaneous-approximation-term (SAT). We present in this work a novel class of SBP-SAT operators that maintain conservation, energy stability, and have no loss of the degree of the scheme for non-conforming approximations. The new \emph{degree preserving} discretizations require an ansatz that the norm matrix of the SBP operator is of a degree $\geq 2p$, in contrast to, for example, existing finite difference SBP operators, where the norm matrix is $2p-1$ accurate. We demonstrate the fundamental properties of the new scheme with rigorous mathematical analysis as well as numerical verification.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes