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Implementation of Adaptive Wavelet Method for Hovering Rotor Aerodynamic Analysis

机译:自适应小波方法在悬停转子气动分析中的实现

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In helicopter aerodynamics, the accurate capture of tip vortices plays a key role in the prediction qualitiesrnof the helicopter performance. Huge amount of computational resources are usually required to avoidrnexcessive numerical dissipation as well as to achieve proper vorticity conservation. Hence, it is of crucialrnimportance to present an efficient numerical method to circumvent excessive computational burden whilernkeeping the necessary numerical accuracy. In this paper, the adaptive wavelet method is extended to enablernefficient 3-D helicopter rotor analysis. The modifications for the improvement are : 1) temporal integrationrnis executed only at the cells included in the adaptive dataset, 2) the wavelet decomposition is conductedrnintermittently, not on every iteration, 3) the additional cells are selected if neighbors are already included inrnthe dataset, which helps to avoid spurious numerical oscillation. The capability of the modified waveletrnmethod is demonstrated by the analysis of ONERA 7A hovering rotor. In this case, 24% of the overallrnelapsed time is saved, while the accuracy of solution is almost retained.
机译:在直升机的空气动力学中,尖端旋涡的精确捕获在直升机性能的预测质量中起着关键作用。通常需要大量的计算资源来避免过度的数值耗散以及实现适当的涡度守恒。因此,提出一种有效的数值方法来避免过多的计算负担,同时又保持必要的数值精度至关重要。在本文中,将自适应小波方法扩展到实现高效的3-D直升机旋翼分析。改进的改进方法是:1)仅对自适应数据集中包含的单元执行时间积分; 2)小波分解是间歇进行的,而不是每次迭代都进行; 3)如果邻居已包含在数据集中,则选择其他单元;这有助于避免虚假的数值振荡。通过对ONERA 7A悬停转子的分析证明了改进的小波方法的能力。在这种情况下,节省了总耗时的24%,而解决方案的精度几乎保持不变。

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  • 会议地点 Tianjin(CN)
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    Department of Aerospace EngineeringPusan National UniversitySan 30 Jangjeon 2-dong Geumjong-gu Busan, Republic of KoreaTele: +82-51-510-2867 Fax: +82-581-2833e-mail: Daedalus@pnu.edu;

    Department of Aerospace EngineeringPusan National UniversitySan 30 Jangjeon 2-dong Geumjong-gu Busan, Republic of Korea;

    Department of Aerospace EngineeringPusan National UniversitySan 30 Jangjeon 2-dong Geumjong-gu Busan, Republic of Korea;

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