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Article

Unfrozen Skewed Turbulence for Wind Loading on Structures

1
Geophysical Institute and Bergen Offshore Wind Centre (BOW), University of Bergen, 5007 Bergen, Norway
2
Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, 4036 Stavanger, Norway
3
Department of Engineering, Reykjavík University, Menntavegur 1, 101 Reykjavík, Iceland
4
Norwegian Public Roads Administration, Bergelandsgata 30, 4012 Stavanger, Norway
*
Author to whom correspondence should be addressed.
Academic Editors: Tianyou Tao, Yong Chen and Haiwei Xu
Appl. Sci. 2022, 12(19), 9537; https://doi.org/10.3390/app12199537
Received: 1 August 2022 / Revised: 17 September 2022 / Accepted: 17 September 2022 / Published: 22 September 2022
This manuscript deals with the generation of turbulence wind histories with spatio-temporal characteristics suitable for the calculation of skewed wind dynamic load on slender structures. Such simulations may become essential for the design of future long-span bridges and high-rise buildings. The results presented are considered valuable in the field of structural engineering, boundary layer meteorology and computational wind engineering.
The paper introduces an algorithm to generate a three-variate four-dimensional wind turbulence field suited for yawed wind dynamic load simulation. At large yaw angles, a relaxation of Taylor’s hypothesis of frozen turbulence becomes relevant as well as the flow phase lag in the along-wind direction, which modulates the real and imaginary parts of the coherence. To capture such a general wind action on a structure, a modified spectral representation method is used where the coherence of turbulence is described as a complex-valued function. The one-point and two-point co-spectra are implemented in the simulation setup using a square-root-free Cholesky decomposition of the spectral matrix. The numerical procedure is illustrated based on turbulence characteristics derived from data collected during storm Aina (2017) on the Norwegian coast by three-dimensional sonic anemometers. During this event, a remarkable 3-hour stationary time series with a mean wind speed of 24 m s1 at a height of 49 m above ground was recorded. Since no computational grid is needed, the velocity fluctuations with representative spatio-temporal characteristics can be directly simulated on structural elements of slender structures. Such an algorithm may be essential for the design of super-long span bridges in coastal areas. View Full-Text
Keywords: turbulence; bridge; yaw angle; Taylor’s hypothesis; synthetic turbulence generation turbulence; bridge; yaw angle; Taylor’s hypothesis; synthetic turbulence generation
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MDPI and ACS Style

Cheynet, E.; Daniotti, N.; Bogunović Jakobsen, J.; Snæbjörnsson, J.; Wang, J. Unfrozen Skewed Turbulence for Wind Loading on Structures. Appl. Sci. 2022, 12, 9537. https://doi.org/10.3390/app12199537

AMA Style

Cheynet E, Daniotti N, Bogunović Jakobsen J, Snæbjörnsson J, Wang J. Unfrozen Skewed Turbulence for Wind Loading on Structures. Applied Sciences. 2022; 12(19):9537. https://doi.org/10.3390/app12199537

Chicago/Turabian Style

Cheynet, Etienne, Nicolò Daniotti, Jasna Bogunović Jakobsen, Jónas Snæbjörnsson, and Jungao Wang. 2022. "Unfrozen Skewed Turbulence for Wind Loading on Structures" Applied Sciences 12, no. 19: 9537. https://doi.org/10.3390/app12199537

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