Discretization Error Estimation Using the Unsteady Error Transport Equations

IF 0.5 Q4 ENGINEERING, MECHANICAL
Hongyu Wang, Weicheng Xue, William Jordan, Christopher J. Roy
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引用次数: 0

Abstract

The focus of this work is on discretization error estimation for time-dependent simulations. Based on previous work on steady-state problems, the unsteady Error Transport Equations (ETE) are used to generate local discretization error estimates for a finite volume CFD code SENSEI. For steady-state problems, the ETE only need to be solved once after the solution has converged, whereas the unsteady ETE need to be co-advanced with the primal solve. All the test cases chosen in this work have known analytical solutions so that order of accuracy test can be performed and the accuracy of the error estimates can be unambiguously determined. The 2D convected vortex is used as the test case for inviscid flow. A Cross-Term Sinusoidal (CTS) manufactured solution for the laminar Navier-Stokes equations is used as the test case for viscous flow. Order of accuracy of the corrected solution is used to assess the quality of the error estimate. When iterative correction is not applied, higher-order convergence rate has been observed for the 2D convected vortex test case. For the 2D CTS manufactured solution higher-order convergence rate can also be observed but not for the finest grid levels. The current implementation of iterative correction is less stable than the primal solve but can improve the discretization error estimate in general. After iterative correction, the discretization error estimate of the unsteady ETE is higher-order for all grid levels for the 2D CTS manufactured solution.
利用非稳态误差传输方程进行离散化误差估算
这项工作的重点是时变模拟的离散化误差估计。在以往稳态问题研究的基础上,利用非稳态误差传输方程(ETE)为有限体积 CFD 代码 SENSEI 生成局部离散化误差估计。对于稳态问题,ETE 只需在求解收敛后求解一次,而非稳态 ETE 需要与基本求解共同推进。本研究选择的所有测试案例都有已知的解析解,因此可以进行精度阶次测试,并明确确定误差估计的精度。二维对流漩涡被用作不粘性流动的测试案例。层流纳维-斯托克斯方程的交叉正弦(CTS)制造解被用作粘性流的测试案例。修正解的精度等级用于评估误差估计的质量。在不采用迭代修正的情况下,二维对流漩涡测试案例的收敛速率较高。对于二维 CTS 制造的解决方案,也可以观察到较高的收敛率,但不是针对最细的网格级。目前的迭代修正实施不如原始解法稳定,但总体上可以改善离散化误差估计。迭代修正后,对于二维 CTS 制造解,所有网格级的非稳态 ETE 离散误差估计值都较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
16.70%
发文量
12
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