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Combining wavelet transform and POD to analyze wake flow

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Abstract

To reveal the possibly existed flow phenomena that buried in a two-dimensional symmetric triangle wake, one-dimensional orthogonal wavelet transform and POD are combined to decompose the fluctuating velocity field into different wavelet components and modes. The features of reconstructed flow fields are analyzed in terms of fluctuating energy, time frequency distribution, space correlation and Reynolds shear stress. It is found that the first two wavelet components and POD modes can give representations to the most energetic large-scale structures, contributing about 77 and 73 % to the total fluctuating energy, respectively. Comparing with the first two wavelet components, the first two POD modes are more appropriate to represent the Karman-like vortical structures. The time–frequency and length scale characteristics of wavelet components suggest that frequency behavior can reflect the spatial-related length scale and the wavelet transform can be used to extract turbulent structures of different scales. Similar to the energy distribution, the most significant contributions to the Reynolds shear stresses comes from the large-scale structures that composed of first two wavelet components and POD modes, accounting for 88 and 80 % of the measured maximum Reynolds shear stress, respectively. Due to different classification criterion of wavelet and POD analyses, the combining use of these two methods tends to be more effective for analyzing multi-scale turbulent structures.

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Authors and Affiliations

  1. School of Automotive and Traffic Engineering, Jiangsu University of Technology, Changzhou, 213001, Jiangsu, China

    Yan Zheng

  2. Department of Mechanical Systems Engineering, Graduate School of Science and Engineering, Yamagata University, 4-3-16 Jonan, Yonezawa-shi, Yamagata, 992-8510, Japan

    Shun Fujimoto & Akira Rinoshika

  3. School of Power and Energy, Northwestern Polytechnical University, 127 West Youyi Road, Xi’an, 710072, Shaanxi, China

    Akira Rinoshika

Authors
  1. Yan Zheng
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  2. Shun Fujimoto
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  3. Akira Rinoshika
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Correspondence to Akira Rinoshika.

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Zheng, Y., Fujimoto, S. & Rinoshika, A. Combining wavelet transform and POD to analyze wake flow. J Vis 19, 193–210 (2016). https://doi.org/10.1007/s12650-015-0318-6

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  • DOI: https://doi.org/10.1007/s12650-015-0318-6

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