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Estimate of iteration errors in computational fluid dynamics

机译:估计计算流体动力学中的迭代误差

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摘要

In this work an empirical estimator is used to estimate the iteration error based on the convergence rate of the variable of interest. Problems of heat transfer and of fluid mechanics are solved by the finite-difference and finite-volume methods using various iteration methods. In the initial iterations the accuracy of the empirical estimator is usually low; when the number of iterations is high, round-off errors predominate over iteration errors, but even so, the accuracy is relatively good; and in the interval between these two extremes, the accuracy tends to improve as the number of iterations increases.
机译:在这项工作中,经验估计器用于根据目标变量的收敛速度来估计迭代误差。传热和流体力学问题通过使用各种迭代方法的有限差分和有限体积方法得以解决。在最初的迭代中,经验估计量的准确性通常较低。当迭代次数多时,舍入误差比迭代误差占优势,但即便如此,精度也相对较高;在这两个极端之间的间隔中,精度会随着迭代次数的增加而提高。

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