Abstract
The spatial structure of a turbulent velocity field is of great theoretical interest as its kinematics describe the distribution of spatial scales and its dynamics describe their evolution from large energy carrying scales to smaller scales and finally to dissipation.
However, the overwhelming number of turbulence measurements results in time records from stationary probes, either hot-wire probes (hot-wire anemometers, HWA) or laser beam probes (laser Doppler anemometers, LDA). The spatial structure of the turbulent velocity field is then inferred by “Taylor’s hypothesis,”as first presented in [1], assuming a “frozen” velocity field carried past the probe with the local mean velocity. However, Taylor’s hypothesis breaks down at higher turbulence intensities and can then only be applied with additional corrections, see,for example, [2–4].
However, the overwhelming number of turbulence measurements results in time records from stationary probes, either hot-wire probes (hot-wire anemometers, HWA) or laser beam probes (laser Doppler anemometers, LDA). The spatial structure of the turbulent velocity field is then inferred by “Taylor’s hypothesis,”as first presented in [1], assuming a “frozen” velocity field carried past the probe with the local mean velocity. However, Taylor’s hypothesis breaks down at higher turbulence intensities and can then only be applied with additional corrections, see,for example, [2–4].
| Original language | English |
|---|---|
| Title of host publication | Whither Turbulence and Big Data in the 21st Century? |
| Editors | Andrew Pollard, Luciano Castillo, Luminita Danaila, Mark Glauser |
| Publisher | Springer |
| Publication date | 2017 |
| Pages | 343-362 |
| Chapter | 18 |
| ISBN (Print) | 978-3-319-41215-3 |
| ISBN (Electronic) | 978-3-319-41217-7 |
| DOIs | |
| Publication status | Published - 2017 |