High-Order Oscillation-Eliminating Hermite WENO Method for Hyperbolic Conservation Laws

Chuan Fan, Kailiang Wu
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Abstract

This paper proposes high-order accurate, oscillation-eliminating Hermite weighted essentially non-oscillatory (OE-HWENO) finite volume schemes for hyperbolic conservation laws. The OE-HWENO schemes apply an OE procedure after each Runge--Kutta stage, dampening the first-order moments of the HWENO solution to suppress spurious oscillations without any problem-dependent parameters. This OE procedure acts as a filter, derived from the solution operator of a novel damping equation, solved exactly without discretization. As a result, the OE-HWENO method remains stable with a normal CFL number, even for strong shocks producing highly stiff damping terms. To ensure the method's non-oscillatory property across varying scales and wave speeds, we design a scale- and evolution-invariant damping equation and propose a dimensionless transformation for HWENO reconstruction. The OE-HWENO method offers several advantages over existing HWENO methods: the OE procedure is efficient and easy to implement, requiring only simple multiplication of first-order moments; it preserves high-order accuracy, local compactness, and spectral properties. The non-intrusive OE procedure can be integrated seamlessly into existing HWENO codes. Finally, we analyze the bound-preserving (BP) property using optimal cell average decomposition, relaxing the BP time step-size constraint and reducing decomposition points, improving efficiency. Extensive benchmarks validate the method's accuracy, efficiency, resolution, and robustness.
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双曲守恒定律的高阶振荡消除赫米特 WENO 方法
本文针对双曲守恒定律提出了高阶精确、消除振荡的赫尔墨特加权基本无振荡(OE-HWENO)有限体积方案。OE-HWENO 方案在 Runge--Kutta 阶段之后采用 OE 程序,对 HWENOsolution 的一阶矩进行阻尼,以抑制杂散振荡,而无需任何与问题相关的参数。该 OE 程序就像一个滤波器,源自一个新颖的阻尼方程的求解算子,无需离散化即可精确求解。因此,即使对产生高刚性阻尼项的强冲击,OE-HWENO 方法也能在正常 CFL 数下保持稳定。为了确保该方法在不同尺度和波速下的非振荡特性,我们设计了阶跃和演化不变的阻尼方程,并提出了一种用于 HWENO 重构的无维度变换。与现有的 HWENO 方法相比,OE-HWENO 方法具有以下几个优点:OE 程序高效且易于实现,只需简单的一阶矩乘法;它保留了高阶精度、局部紧凑性和频谱特性。然后,侵入式 OE 程序可以无缝集成到现有的 HWENO 代码中。最后,我们利用最优单元平均分解分析了边界保留(BP)特性,放宽了 BP 时间步长约束并减少了分解点,从而提高了效率。大量基准验证了该方法的准确性、效率、分辨率和鲁棒性。
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