DOI: 10.5061/dryad.bnzs7h4k3
title: Coexistence and transition of weak and strong wave turbulence in acoustic broadening

description: This study experimentally demonstrates the coexistence and transition
 between weak and strong wave turbulence during the interaction of acoustic
 waves and turbulent flows. We identify conditions under which different
 wave turbulence regimes occur based on the wavenumber of the turbulent
 flow and acoustic waves. As the sound frequency increases, strong wave
 turbulence dominates, requiring a specific scaling factor to reconcile the
 spectra with the weak turbulence theory. Our analysis using the wave
 turbulence framework is confirmed by experimental results, providing deep
 insights into the complex interaction between acoustics and turbulence.
description: Our experiments take place in an anechoic wind tunnel with a 0.4
 m0.4 m jet nozzle at the Hong Kong University of Science and
 Technology (39). By introducing turbulence through jet injection into the
 surrounding medium, we can examine the interaction between incident sound
 waves and turbulent shear layers. This interaction can trigger both weak
 and strong wave turbulence, generating additional sound waves that we
 capture in the opposite direction. To capture the intricate dance of these
 waves, we use a highly sensitive microphone, GRAS 46BE, at a sampling
 frequency of 100 kHz for 1 s using a National Instruments-PXIE 4497
 system. We conduct 75 independent measurements for each working condition
 to ensure repeatability. We also use a Dantec hot-wire X-Probe to scan the
 flow field of the jet from the wind tunnel at a spatial resolution of 1 cm
 and a temporal sampling frequency of 100 kHz. The acoustic propagating
 distance is 1.4 m, while the hot-wire X-Probe measurement distance is 0.6
 m.
description: # Coexistence and transition of weak and strong wave turbulence in
 acoustic broadening
 ([https://doi.org/10.5061/dryad.bnzs7h4k3](https://doi.org/10.5061/dryad.bnzs7h4k3)) This is a dataset for acoustic broadening experiments, including orginal hot-wire results and data-processed acoustic results. Several python codes are also uploaded. ## Description of the data and file structure Hot-wire dataset: original dataset from hot-wire system.  Acoustic dataset: Microphone results. Python codes: Working for acoustic dataset. Method: Data processing method: block-averaged fast Fourier transform. Physics insides: Acoustic broadening and Wave turbulence theory. Software: Matlab, Python 3. Other links: NAN Data files description in detail: for instance: 10m_hot wire.zip include the original collected hot wire data at 10 m/s wind speed. The coordinates (x,y,z) are presented as the name of the .dat file. Figure_code . zip includes the python codes for the figures in the main text and SM files.  Acoustic.zip includes the acoustic measurement results from microphone at different inflow speeds. For instance wind_1 denotes wind speed at 10 m/s, and wind_4 denotes wind speed at 40 m/s.  Moreover, in Acoustic.zip file, the Section_1 and Section_2 files are the hot_wire results at different subsections (Used to compare with acoustic measurement results).  High-order compare.zip includes the high-order nonlinear interaction approached results and python file for drawing the figure.