https://github.com/echeynet/windsimfast

A three-variate turbulent wind field (u,v and w components) is simulated in three-dimensions.
https://github.com/echeynet/windsimfast

coherence fft simulation spectrum winds

Last synced: 10 months ago
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A three-variate turbulent wind field (u,v and w components) is simulated in three-dimensions.

• Host: GitHub
• URL: https://github.com/echeynet/windsimfast
• Owner: ECheynet
• License: bsd-3-clause
• Created: 2020-03-20T20:18:27.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2023-08-11T07:38:24.000Z (over 2 years ago)
• Last Synced: 2025-03-25T13:21:07.759Z (10 months ago)
• Topics: coherence, fft, simulation, spectrum, winds
• Language: MATLAB
• Homepage:
• Size: 19.7 MB
• Stars: 9
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# windSimFast

A three-variate turbulent wind field (u,v and w components) is simulated in three-dimensions. 

[![View Wind field simulation (the fast version) on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://se.mathworks.com/matlabcentral/fileexchange/68632-wind-field-simulation-the-fast-version)

[![DOI](https://zenodo.org/badge/248844343.svg)](https://zenodo.org/badge/latestdoi/248844343)



## Summary

A turbulent wind field (u,v,w, components) in 3-D (two dimensions for space and one for the time) is simulated using random processes.  The computational efficiency of the simulation relies on Ref. [1], which leads to a significantly shorter simulation time than the function windSim, also available on fileExchange. However,  only the case of a regular 2D vertical grid normal to the flow is here considered.

## Content

The submission contains:

- An example file Example1 that illustrates simply how the output variables look like.

- An example file Example2, which is more complete, and which simulates a 3-D turbulent wind field on a 7x7 grid.

- A data file exampleData.mat used in Example1.

- The function windSimFast.m, which is used to generate the turbulent wind field.  A similar implementation of windSimFast.m was used in ref. [2].

- The function getSamplingpara.m, which computes the time and frequency vectors.

- The function KaimalModel.m, which generates the one-point auto and cross-spectral densities of the velocity fluctuations, following the Kaimal model [3]. I have corrected the cross-spectrum density formula used by Kaimal et al. so that the simulated friction velocity is equal to the target one. 

- The function coherence used to estimate the root-mean-square coherence, the co-coherence and the quad-coherence.

- The function write2bts to convert the data into a .bts file (binary data). This function is still under testing and I ignore if it performs well.

Any comment, suggestion or question is welcomed.

## References

  [1] Shinozuka, M., & Deodatis, G. (1991).   Simulation of stochastic processes by spectral representation.   Applied Mechanics Reviews, 44(4), 191-204.

  

  [2] Wang, J., Cheynet, E., Snæbjörnsson, J. Þ., & Jakobsen, J. B. (2018). Coupled aerodynamic and hydrodynamic response of a long span bridge suspended from floating towers.  Journal of Wind Engineering and Industrial Aerodynamics, 177, 19-31.

  

  [3] Davenport, A. G. (1961). The spectrum of horizontal gustiness near the ground in high winds.   Quarterly Journal of the Royal Meteorological Society, 87(372), 194-211.