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Implicit large eddy simulation of compressible turbulence flow with P_nT_m - BVD scheme

机译:P_nT_m-BVD格式对可压缩湍流的隐式大涡模拟。

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摘要

Implicit large eddy simulation (ILES) of compressible turbulence with shock capturing schemes requires wide investigations and numerical experiments. In this study, a newly proposed PnTm - BVD (polynomial of n-degree and THINC function of m-level reconstruction based on BVD algorithm) shock capturing scheme is introduced to simulate compressible turbulence flow with ILES. The new scheme is designed by employing high-order linear-weight polynomials and THINC (Tangent of Hyperbola for INterface Capturing) functions with adaptive steepness as the reconstruction candidates. The final reconstruction function in each cell is determined with a multi-stage BVD (Boundary Variation Diminishing) algorithm so as to effectively control numerical oscillation and dissipation. Numerical tests involving shock waves and broadband turbulence are conducted in comparison with WENO (Weighted Essentially Non-oscillatory) schemes which are widely used in ILES. The results demonstrate performing ILES with PnTm- BVD scheme is able to obtain higher resolution and more faithful results than WENO does. Importantly, the superiority of PnTm-BVD becomes more notable in high wave-number region. Thus this paper provides and verifies a new scheme which is promising in providing high-resolution results for real-case ILES of compressible turbulence flow. (C) 2019 Published by Elsevier Inc.
机译:具有冲击捕获方案的可压缩湍流的隐式大涡模拟(ILES)需要广泛的研究和数值实验。在这项研究中,提出了一种新提出的PnTm-BVD(基于BVD算法的n级多项式和m级重构的THINC函数)冲击捕获方案,以利用ILES模拟可压缩湍流。通过采用高阶线性权重多项式和具有自适应陡度的THINC(双曲线的切线用于界面捕获)功能设计新方案,作为重建候选对象。每个单元中的最终重构函数由多级BVD(边界变化减小)算法确定,以便有效地控制数值振荡和耗散。与ILES中广泛使用的WENO(加权基本非振荡)方案进行了涉及冲击波和宽带湍流的数值测试。结果表明,与WENO相比,使用PnTm-BVD方案执行ILES能够获得更高的分辨率和更真实的结果。重要的是,PnTm-BVD的优势在高波数区域变得更加明显。因此,本文提供并验证了一种新方案,该方案有望为可压缩湍流的实际ILES提供高分辨率结果。 (C)2019由Elsevier Inc.发布

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