Title: | Spatial spectrum from particle image velocimetry data |
Other Titles: | Prostorové spektrum z PIV dat |
Authors: | Duda, Daniel Uruba, Václav |
Citation: | DUDA, D., URUBA, V. Spatial spectrum from particle image velocimetry data. Journal of Nuclear Engineering and Radiation Science, 2019, roč. 5, č. 3, s. 030912-1-030912-7. ISSN 2332-8983. |
Issue Date: | 2019 |
Publisher: | The American Society of Mechanical Engineers |
Document type: | článek article |
URI: | 2-s2.0-85070828877 http://hdl.handle.net/11025/36802 |
ISSN: | 2332-8983 |
Keywords: | PIV, spektrum, fluktuační rozklad, proudový paprsek, zpracování PIV |
Keywords in different language: | PIV;spectrum;fluctuation decomposition;Jet;PIV processing |
Abstract: | We present a simple method of obtaining the turbulence kinetic energy spectrum from spatially resolved particle image velocimetry (PIV) data without need of use of Taylor hypothesis of frozen turbulence. Additionally, this method allows us to extract the velocity field components related to individual length scales resolved in the spectrum. We convolute the measured PIV velocity field with a band-pass filter, i.e., a difference of two Gauss functions with different widths, and the energy content of a such product we relate to the relevant length-scale of the used band. This is a "kind of wavelet transformation", which, in respect to Fourier transformation, gives a good physical meaning to individual components. |
Rights: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © The American Society of Mechanical Engineers |
Appears in Collections: | Články / Articles (KKE) OBD |
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Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/36802
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