Extracting accurately and efficiently burst events of wall turbulence

Haibao Hu, Peng Du, Dong Song, Yunhe Guo, Ying Wang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Flow field measurement of turbulent boundary layer was accomplished in a gravitational low-speed water tunnel set up by us. The velocity signal of a test point in logarithmic layer is analyzed respectively with two methods (autocorrelation method and wavelet transform method), and the results and their analysis demonstrate preliminarily that the autocorrelation method has high precision for the detection of average burst period, while the wavelet transform method can be used to extract burst events but with low precision. Consequently, an improved method with high precision and efficiency is put forward based both on autocorrelation and wavelet transform, and the specific implementation steps are summarized in section 3 of the full paper. Compared with old methods, our improved method can indeed extract burst events of wall turbulence both accurately and efficiently.

Original languageEnglish
Pages (from-to)602-606
Number of pages5
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume31
Issue number4
StatePublished - 2013

Keywords

  • Autocorrelation
  • Boundary layers
  • Burst events
  • Detection
  • Efficiency
  • Extraction
  • Flow fields
  • Measurements
  • Signal reconstruction
  • Turbulence, velocity
  • Wall turbulence
  • Wawelet transforms

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