Next Article in Journal
Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences
Next Article in Special Issue
Effects of Corner Modification on the Wind-Induced Responses of High-Rise Buildings
Previous Article in Journal
Effect of Alkanolamines on the Early-Age Strength and Drying Shrinkage of Internal Curing of Mortars
Previous Article in Special Issue
Machine Learning Techniques in Structural Wind Engineering: A State-of-the-Art Review

Unfrozen Skewed Turbulence for Wind Loading on Structures

Geophysical Institute and Bergen Offshore Wind Centre (BOW), University of Bergen, 5007 Bergen, Norway
Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, 4036 Stavanger, Norway
Department of Engineering, Reykjavík University, Menntavegur 1, 101 Reykjavík, Iceland
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;
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
Show Figures

Figure 1

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.

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.

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.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop