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首页> 外文期刊>Computer Methods in Applied Mechanics and Engineering >An a posteriori, efficient, high-spectral resolution hybrid finite-difference method for compressible flows
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An a posteriori, efficient, high-spectral resolution hybrid finite-difference method for compressible flows

机译:一种可压缩流的后验,高效,高光谱分辨率混合差分方法

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摘要

A high-order hybrid method consisting of a high-accurate explicit finite-difference scheme and a Weighted Essentially Non-Oscillatory (WENO) scheme is proposed in this article. Following this premise, two variants are outlined: a hybrid made up of a Finite Difference scheme and a compact WENO scheme (CRWENO 5), and a hybrid made up of a Finite Difference scheme and a non-compact WENO scheme (WENO 5). The main difference with respect to similar schemes is its a posteriori nature, based on the Multidimensional Optimal Order Detection (MOOD) method. To deal with complex geometries, a multi-block approach using Moving Least Squares (MLS) procedure for communication between meshes is used. The hybrid schemes are validated with several 1D and 2D test cases to illustrate their accuracy and shock- capturing properties. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文提出了一种由高精度显式有限差分方案和加权本质非振荡(WENO)方案组成的高阶混合方法。在此前提下,概述了两个变体:由有限差分方案和紧凑型WENO方案组成的混合体(CRWENO 5),以及由有限差分方案和非紧凑型WENO方案组成的混合体(WENO 5)。基于多维最佳顺序检测(MOOD)方法,类似方案的主要区别在于其后验性。为了处理复杂的几何图形,使用了使用最小二乘(MLS)过程在网格之间进行通信的多块方法。通过几个一维和二维测试案例对混合方案进行了验证,以说明其准确性和捕捉震动的特性。 (C)2018 Elsevier B.V.保留所有权利。

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