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Discrete Adjoint Based Time-Step Adaptation and Error Reduction in Unsteady Flow Problems

机译:基于离散的伴随时间步长和误差减少了不稳定的流量问题

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The paper presents an adjoint based approach for determining global error in the time domain that is relevant to scalar outputs computed as functions of the unsteady flow solution. The algorithm is derived for the unsteady Euler equations and takes into account the effect of dynamic meshes. Two primary components of the total error are specifically identified, namely, the error due to temporal resolution and the error due to partial convergence of the governing equations at each implicit time step. The primary error components are further decomposed into individual contributions arising from the flow equations and the mesh motion equations. The distribution of the global error from these various components is then used as the criterion for adaptation. The developed method is applied to a simple unsteady test case involving a sinusoidally pitching airfoil in order to demonstrate its strength and features.
机译:本文介绍了一种基于伴随的方法,用于确定与计算为不稳定流解决的函数的标量输出相关的时域中的全局误差。算法用于不稳定的euler方程,并考虑动态网格的效果。特别识别出总误差的两个主要组件,即由于时间分辨率和由于每个隐式时间步骤的控制方程的部分收敛而导致的误差。主要误差分量进一步分解成从流程方程和网格运动方程产生的个体贡献。然后将来自这些各种组件的全局错误的分布作为自适应的标准。开发方法应用于简单的不稳定测试箱,涉及正弦俯仰翼型的翼型,以证明其强度和特征。

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