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Preprint . 2024
License: CC BY
Data sources: ZENODO
Physics of Fluids
Article . 2025 . Peer-reviewed
Data sources: Crossref
Physics of Fluids
Article . 2025 . Peer-reviewed
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Turbulence structure in a boundary layer wind tunnel

Authors: Xiaonan Wang; Hui Liu; Mingshui Li; Jakob Mann; Shaopeng Li;

Turbulence structure in a boundary layer wind tunnel

Abstract

Turbulence spectral analysis is a critical aspect of wind tunnel experiments. In this study, a modification of the Mann uniform shear model (M94), based on the Rapid Distortion theory, is proposed to adapt M94 for wind tunnel conditions and model the complete second-order turbulence structure. First, the one-point spectra measured at heights ranging from 0.3 to 1.5 m are analyzed. The total absolute error χ2 for the modified M94 (M94-2) prediction is 0.998, compared to 1.6357 and 1.183 for M94 and the von Kármán spectral model, respectively; the results demonstrate the validity of the modification. Second, the spatial coherence is analyzed, with the spatial separations Δy and Δz ranging from 3.5 to 50 cm, M94-2 provides better predictions compared to the Krenk exponential coherence model. Notably, M94-2 is able to predict the turnaround of coherence at low wavenumber. Third, the phase angle of the cross-spectrum for two vertically separated points is predicted by M94-2, M94-2 tends to overestimate the measurement due to noise contamination. In conclusion, the anisotropic spectrum of boundary layer wind tunnel turbulence can be modeled by M94-2 effectively with three parameters: αε2/3, L, and Γ, and the entire work is conducted within a unified theoretical framework.

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Keywords

Spectral Analysis, Wind Tunnel Simulation, Wind Energy, Atmospheric Boundary Layer, Turbulence Structure, Boundary Layer Wind Tunnel, Wind Engineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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