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首页> 外文期刊>Journal of Computational Physics >An a priori anisotropic goal-oriented error estimate for viscous compressible flow and application to mesh adaptation
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An a priori anisotropic goal-oriented error estimate for viscous compressible flow and application to mesh adaptation

机译:一种先验的各向异性目标导向误差估计,用于粘性可压缩流程和网格适应的应用

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摘要

We present a goal-oriented error analysis for the calculation of low Reynolds steady compressible flows with anisotropic mesh adaptation. The error analysis is of a priori type. Its central principle is to express the right-hand side of the error equation, often referred as the local error, as a function of the interpolation error of a collection of fields present in the nonlinear Partial Differential Equations. This goal-oriented error analysis is the extension of [39] done for inviscid flows to laminar viscous flows by adding viscous terms. The main benefits of this approach, in comparison to other error estimates in the literature, is that the optimal anisotropy of the mesh directly appears in the error analysis and is not obtained from an ad hoc variable nor a local analysis. As a consequence, an optimum is obtained and the convergence of the mesh adaptive process is very fast, Le., generally the convergence is obtained after 5 to 10 mesh adaptation cycle. Then, using the continuous mesh framework, an optimal metric is analytically obtained from the error estimation. Applications to mesh adaptive calculations of flows past airfoils are presented. (C) 2018 Elsevier Inc. All rights reserved.
机译:我们提出了一种面向目标的误差分析,用于计算低雷诺斯稳定的可压缩流量,具有各向异性网眼自适应。错误分析是先验类型。其中心原理是表示误差方程的右侧,通常称为本地错误,作为非线性部分微分方程中存在的字段集合的插值误差的函数。这种面向目标的误差分析是通过添加粘性术语来延伸到IncIscid流到层状粘性流动。与文献中的其他误差估计相比,这种方法的主要好处是网格的最佳各向异性直接出现在误差分析中,并且未从Ad Hoc变量获得,也不是本地分析。结果,获得了最佳,并且网格自适应过程的收敛非常快,LE非常快。,通常在5到10目的自适应循环之后获得收敛。然后,使用连续网格框架,从误差估计分析了最佳度量。提出了用于网眼翼型的喷射自适应计算的应用。 (c)2018年Elsevier Inc.保留所有权利。

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