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A low-dissipation finite-volume method based on a new TENO shock-capturing scheme

机译:一种基于新的Teno冲击捕获方案的低耗散有限体积法

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In Fu et al. (2016), a family of high-order TENO shock-capturing schemes has been proposed for compressible fluid simulations within a finite-difference framework. With the TENO weighting strategy, each candidate stencil is either applied for the final reconstruction with its optimal weight or discarded completely when crossed by discontinuities. In this paper, with the observation that the local flow scales can be judged to be smooth or non-smooth explicitly, we propose a novel low-dissipation finite volume method based on a new TENO reconstruction. Firstly, a new ENO-like stencil selection paradigm, which adapts between three three-point small stencils and a large candidate stencil, is proposed. The resulting TENO scheme inherits the low-dissipation advantage of original TENO schemes and can be extended to arbitrarily high-order reconstruction without significant complexity increase. The optimal background linear scheme on the three small stencils and that on the large stencil can be optimized either approaching high-order accuracy or better spectral properties separately. Secondly, within the finite volume framework, a "low-dissipation" Riemann solver is applied for flux computing when the large candidate stencils for both the left-and right-side reconstruction are judged as smooth whereas a robust "dissipative" Riemann solver is adopted when one large candidate stencil crosses discontinuities. Since the numerical dissipation from both the reconstruction stage and the flux computing stage can be tuned according to the TENO weighting strategy, the proposed finite-volume method is less-dissipative and provides additional flexibility to handle challenging simulations. A set of benchmark cases is simulated to assess the performance of proposed method. (C) 2018 Elsevier B.V. All rights reserved.
机译:在Fu等人。 (2016),已经提出了一系列高阶Teno冲击捕获方案,用于在有限差分框架内进行可压缩流体模拟。利用Teno加权策略,每个候选模板都适用于最终重建,其最佳重量或在不间断地交叉时完全丢弃。在本文中,随着观察到局部流量尺度可以被判断为平滑或非光滑的明确,我们提出了一种基于新的Teno重建的新型低耗散有限体积法。首先,提出了一种新的eNO样模板选择范式,其适应三个三点小模板和大候选模板之间。由此产生的Teno方案继承了原始Teno方案的低耗散优势,并且可以扩展到任意高阶重建,而无需显着复杂性。三个小模板上的最佳背景线性方案以及在大型模版上可以单独接近高阶精度或更好的光谱特性进行优化。其次,在有限体积框架内,当左侧和右侧重建的大候选模板被判断为光滑时,施加“低耗散”Riemann求解器的助焊剂计算,而采用稳健的“耗散”Riemann求解器当一个大型候选模板交叉不连续时。由于重建阶段和助焊剂计算阶段的数值耗散可以根据Teno加权策略进行调整,因此提出的有限体积方法是较低的耗散,并提供额外的灵活性来处理具有挑战性的模拟。模拟了一组基准案例以评估所提出的方法的性能。 (c)2018 Elsevier B.v.保留所有权利。

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