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Adjoint Error Estimation and Adaptive Refinement for Embedded-Boundary Cartesian Meshes

机译:嵌入式边界笛卡尔网格的伴随错误估计和自适应细化

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We present an approach for the computation of error estimates in output functionals such as lift or drag for an embedded-boundary Cartesian mesh method. The approach relies on the solution of an adjoint equation and provides error estimates that can be used to both improve the accuracy of the functional and guide a mesh refinement procedure. This is a significant step in our research toward automating the simulation process for flows in complex geometries. The accuracy of the approach is verified on an analytic model problem and validated against common results in the literature. The robustness of the approach is examined for two test cases in three dimensions, namely, an isolated wing in transonic flow and a canard-controlled missile in supersonic flow. The results demonstrate that the approach is tolerant of coarse initial meshes. A practical advantage of the approach is that the adaptive mesh refinement may be performed with a fixed surface triangulation. In all cases considered, the approach provided reliable estimates of the output functional on computationally affordable meshes.
机译:我们介绍了一种方法,用于计算输出功能中的误差估计,例如用于嵌入边界笛卡尔网格方法的升力或拖动。该方法依赖于伴随方程的解决方案,并提供误差估计,可以用于提高功能的准确性并指导网格细化过程。这是我们对自动化复杂几何形状中流动模拟过程的研究的重要一步。在分析模型问题上验证了这种方法的准确性,并验证了文献中的共同结果。检查方法的鲁棒性三维测试用例,即在超音流中的跨音速流动的隔离机翼和甲师控制导弹。结果表明,该方法是耐粗初始网格的耐受性。方法的实际优点是可以用固定的表面三角测量来执行自适应网格细化。在所有情况下,该方法提供了在计算实惠网格上的输出功能的可靠估计。

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