自由流湍流下边界层过渡时发夹涡周围优势项的算法探索

K. Matsuura
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引用次数: 0

摘要

提出了一种利用骨架化、数学项分解和骨架点周围减少的优势项重新组合来评估主导局部动力学的新方法,以阐明自由流湍流(FST)边界层过渡过程中产生的发夹涡动力学。该方法的发展是基于在FST强度为0-6%,自由流马赫数为0.5的平板上对层流-湍流过渡进行直接数值模拟的结果。针对骨架化问题,提出了一种以封闭等面为代表的涡结构内部点提取算法。为了确定主导项,将控制方程分解为不可进一步分解项。并将该方法推广到时间序列流场数据中,揭示了旋涡结构演化过程中优势项组合集的变化规律。本方法能够自动发现和分类发夹涡演化过程中控制局部动力学的主导项集的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithmic exploration of dominant terms around hairpin vortices generated during boundary-layer transition under Free-Stream Turbulence
A new method that evaluates dominant local dynamics by skeletonization, mathematical term decomposition and the re-combination of a reduced number of dominant terms around the skeleton points is proposed to clarify the dynamics of hairpin vortices generated during the boundary-layer transition under free-stream turbulence (FST). The development of the method is based on the results of direct numerical simulations conducted for the laminar-turbulent transition on a flat plate with FST intensities of 0–6% and a free-stream Mach number of 0.5. Regarding the skeletonization, a new algorithm for extracting the interior points of vortex structures represented by enclosed iso-surfaces is developed. To identify the dominant terms, governing equations are decomposed into non-further-decomposable (NFD) terms. The proposed method is also extended to time series flow field data to reveal the variation of the combination set of dominant NFD terms during the evolution of vortex structures. The present method enables the automatic finding and categorization of the variations of the sets of dominant terms that govern local dynamics during the evolution of hairpin vortices.
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
32
审稿时长
21 weeks
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