WENO smoothness indicator based troubled-cell indicator for hyperbolic conservation laws

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2023-09-14 DOI:10.1002/fld.5237
K. R. Arun, Asha K. Dond, Rakesh Kumar
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Abstract

Hybrid algorithms are an efficient and popular choice for computing the solutions of hyperbolic conservation laws. In general, hybrid algorithms involve low-cost high-order accurate schemes in smooth regions and non-oscillatory shock-capturing schemes in the vicinity of discontinuities. Troubled-cell indicators which measure the smoothness of the solution play a significant role in the efficiency of hybrid algorithms. This article proposes a new troubled-cell indicator utilising the smoothness indicators of WENO schemes for hyperbolic conservation laws. The proposed troubled-cell indicators are simple, efficient, effective, and are used to construct three new adaptive WENO algorithms of high-order accuracy. The hybrid algorithms developed are independent of the order and type of the WENO reconstruction. For demonstration, we have considered the fifth and seventh order WENO-Z reconstruction. The first two algorithms have comparable accuracy and resolution of the solution across discontinuities to that of the WENO-Z scheme but at a less computational cost. The third algorithm ensures the convergence of the proposed scheme to the correct entropy solution when applied to a hyperbolic conservation law with non-convex flux for which the WENO schemes fail. We have performed several 1D and 2D numerical experiments to demonstrate the efficiency of the proposed algorithms and their performance compared with the WENO-Z schemes. The proposed algorithms are efficient and take 30%–75% less computational time than the WENO-Z schemes while retaining the advantages of WENO-Z schemes.

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基于 WENO 平滑度指标的双曲守恒定律的麻烦细胞指标
混合算法是计算双曲守恒定律解的一种高效且流行的选择。一般来说,混合算法涉及平滑区域的低成本高阶精确方案和不连续区域的非振荡冲击捕捉方案。衡量解的平滑度的麻烦单元指标对混合算法的效率起着重要作用。本文利用双曲守恒定律 WENO 方案的平稳性指标,提出了一种新的麻烦细胞指标。所提出的麻烦细胞指标简单、高效、有效,并被用于构建三种高阶精度的新自适应 WENO 算法。所开发的混合算法与 WENO 重构的阶数和类型无关。为了演示,我们考虑了五阶和七阶 WENO-Z 重建。前两种算法具有与 WENO-Z 方案相当的精度和跨不连续解的分辨率,但计算成本较低。第三种算法可确保所提出的方案在应用于双曲守恒定律和非凸通量时收敛到正确的熵解,而 WENO 方案在这种情况下是失效的。我们进行了多个一维和二维数值实验,以证明所提算法的效率以及与 WENO-Z 方案相比的性能。与 WENO-Z 方案相比,所提算法效率高,计算时间减少了 30%-75% ,同时保留了 WENO-Z 方案的优点。
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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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