1. 沈阳工业大学 信息科学与工程学院,沈阳,110870
2. 沈阳计量测试院,沈阳,110179
3. 中国空气动力研究与发展中心,绵阳,621000
裴锐(1982—),男,辽宁沈阳人,博士,高级工程师,研究方向:热工计量、数字信号处理、阵列信号处理. E-mail:715408939@qq.com
贾丹平*,教授,博导,研究方向:光电检测技术. E-mail:260266504@qq.com
纸质出版:2024
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裴锐, 贾丹平, 赵鲲, 等. 基于波数-频率谱分析的线阵列后向台阶流速测量[J]. 空气动力学学报, 2024, 42(12): 100−108.
PEI Rui, JIA Danping, ZHAO Kun, et al. Backward-facing step velocity measurement of line array based on wavenumber-frequency spectrum analysis[J]. 2024, 42(12): 100-108.
裴锐, 贾丹平, 赵鲲, 等. 基于波数-频率谱分析的线阵列后向台阶流速测量[J]. 空气动力学学报, 2024, 42(12): 100−108. DOI: 10.7638/kqdlxxb-2024.0048
PEI Rui, JIA Danping, ZHAO Kun, et al. Backward-facing step velocity measurement of line array based on wavenumber-frequency spectrum analysis[J]. 2024, 42(12): 100-108. DOI: 10.7638/kqdlxxb-2024.0048.
后向台阶湍流介质流速测量存在重复性较低、鲁棒性较差的问题,为了解决这些问题,提出了一种基于波数-频率谱分析的线阵列传感器流速测量方法。首先,分析了后向台阶数据的湍流度和“泰勒冻结”信号特征;其次,使用频域波束形成算法和多信号分类算法将传感器数据从$ x-t $域转换至$ k-\omega $域,呈现出与后向台阶流速相关的特征“脊线”;然后,探究不同波束形成滤波算法和功率谱分块长度对流速“脊线”的影响;最后,应用波数-频率谱分析“脊线”斜率求解流速。结果表明波数-频率谱方法能够有效地实现后向台阶流速测量,与传统的互相关法比较,相对误差为2.83%,重复性为 0.32%,具有较好的重复性和鲁棒性。
At present
a variety of algorithms have been used to measure the flow velocity of backward-facing step turbulent media
but most of them have the problems of low repeatability and poor robustness. Therefore
a velocity measurement method of line array sensors based on wavenumber-frequency spectrum analysis is proposed. Firstly
the turbulence degree and Taylor freeze signal characteristics of the backward-facing step data are analyzed. Secondly
FDBM and MUSIC algorithms are used to convert sensors data from the $ x-t $ domain to the $ k-\omega $ domain
showing the characteristic "ridge line" related to the backward-facing step velocity. Then
the influence of different beam forming filtering algorithms and power spectrum block length on velocity "ridge" is explored. Finally
wavenumber-frequency spectrum is used to analyze the slope of ridge line to solve the velocity. Compared with the traditional cross-correlation method
the relative error is 2.83$ {\text{%}} $ and the repeatability is 0.32$ {\text{%}} $. The results show that the wave-frequency spectrum method can effectively measure the backward-facing step flow velocity
has good repeatability and robustness.
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