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Accuracy of the Simultaneous-Approximation-Term Boundary Condition for Time-Dependent Problems

机译:时变问题的同时逼近项边界条件的精度

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摘要

The simultaneous-approximation-term (SAT) approach to applying boundary conditions for the compressible Navier-Stokes equations is analyzed with respect to the errors associated with the formulation's weak enforcement of the boundary data. Three numerical examples are presented which illustrate the relationship between the penalty parameters and the accuracy; two examples are fundamentally acoustic and the third is viscous. The viscous problem is further analyzed by a continuous model whose solution is known analytically and which approximates the discrete problem. From the analysis it is found that at early times an overshoot in the boundary values relative to the boundary data can be expected for all values of the penalty parameters but whose amplitude reduces with the inverse of the parameter. Likewise, the long-time behavior exhibits a t~(-1/2) relaxation towards the specified data, but with a very small amplitude. Based on these data it is evident that large values of the penalty parameters are not required for accuracies comparable to those obtained by a more traditional characteristics-based method. It is further found that for curvilinear boundaries the SAT approach is superior to the locally one-dimensional in-viscid characteristic approach.
机译:针对与可伸缩的边界数据执行力弱相关的误差,分析了将可应用的条件应用于可压缩Navier-Stokes方程的边界条件的同时逼近项(SAT)方法。给出了三个数值示例,说明了惩罚参数与准确性之间的关系。两个例子在本质上是声学的,第三个是粘性的。粘性问题由连续模型进一步分析,该模型的解在解析上是已知的,并且它近似于离散问题。从分析中发现,在早期,对于惩罚参数的所有值,可以预期相对于边界数据的边界值会出现过冲,但是其幅度随着参数的倒数而减小。同样,长时间行为对指定数据表现出t〜(-1/2)弛豫,但幅度很小。根据这些数据,很明显,与通过更传统的基于特征的方法获得的精度相比,不需要较大的惩罚参数值。进一步发现,对于曲线边界,SAT方法优于局部一维无粘性特征方法。

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