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arXiv 2307.09697math.NAcs.NA
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新型良平衡连续内部惩罚稳定化方法

Novel well-balanced continuous interior penalty stabilizations

Lorenzo Micalizzi, Mario Ricchiuto, Rémi Abgrall

AI总结:

本文针对浅水方程提出多种新型连续内部惩罚稳定化方法,结合残差分配/连续伽辽金有限元与延迟校正时间积分,在保持静水稳态和一般稳态的同时实现任意高阶精度,并验证了其捕捉小扰动和超收敛性能。

摘要:

本文研究了一些用于浅水方程的新型连续内部惩罚(CIP)稳定化方法的高阶精度和良平衡(WB)性质。底层任意高阶数值框架由用于空间离散的残差分配(RD)/连续伽辽金(CG)有限元方法(FEM)设置与延迟校正(DeC)时间积分耦合给出,从而得到一个全显式格式。一方面,所引入的CIP稳定化方法都经过专门设计,以保证精确保持静水稳态;另一方面,其中一些方法利用一般结构来处理一般稳态的保持问题,而这些稳态的显式解析表达式是未知的。数值实验中考虑了多种基函数,在所有情况下,数值结果都证实了新型稳定化方法具有高阶精度,能够精确保持静水稳态,并能捕捉该平衡态的小扰动。此外,其中一些基于空间残差和全局通量概念的方法在无法闭式表达的一般稳态解背景下表现出非常好的性能和超收敛性。本文引入的许多元素可以推广到其他双曲系统,例如带重力的欧拉方程。

英文摘要:

In this work, the high order accuracy and the well-balanced (WB) properties of some novel continuous interior penalty (CIP) stabilizations for the Shallow Water (SW) equations are investigated. The underlying arbitrary high order numerical framework is given by a Residual Distribution (RD)/continuous Galerkin (CG) finite element method (FEM) setting for the space discretization coupled with a Deferred Correction (DeC) time integration, to have a fully-explicit scheme. If, on the one hand, the introduced CIP stabilizations are all specifically designed to guarantee the exact preservation of the lake at rest steady state, on the other hand, some of them make use of general structures to tackle the preservation of general steady states, whose explicit analytical expression is not known. Several basis functions have been considered in the numerical experiments and, in all cases, the numerical results confirm the high order accuracy and the ability of the novel stabilizations to exactly preserve the lake at rest steady state and to capture small perturbations of such equilibrium. Moreover, some of them, based on the notions of space residual and global flux, have shown very good performances and superconvergences in the context of general steady solutions not known in closed-form. Many elements introduced here can be extended to other hyperbolic systems, e.g., to the Euler equations with gravity.

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