echeynet / atmturbulence_energi322

Set of python functions for the course on random process and atmospheric turbulence in ENERGI322 (UiB)

atmTurbulence_ENERGI322

Summary

Excercise and set of python functions for the course on random processes and atmospheric turbulence ENERGI322 at the University of Bergen (UiB). These functions and excercise are inspired by some of the earlier work in e.g. [1-4].

Content

The repository contains:

• Ex1_2024.pdf which is the assignment.
• functions.py which is the set of functions to be used in the main script.
• script_to_be_completed.py which is the script used to complete the assignment.

References

[1] Cheynet, E. (2016). Wind-induced vibrations of a suspension bridge: A case study in full-scale.

[2] Cheynet, E., Jakobsen, J. B., & Reuder, J. (2018). Velocity spectra and coherence estimates in the marine atmospheric boundary layer. Boundary-layer meteorology, 169(3), 429-460.

[3] Cheynet, E., Jakobsen, J. B., Snæbjörnsson, J., Mikkelsen, T., Sjöholm, M., Mann, J., ... & Svardal, B. (2016). Application of short-range dual-Doppler lidars to evaluate the coherence of turbulence. Experiments in Fluids, 57, 1-17.

[4] Cheynet, E., Jakobsen, J. B., & Snæbjörnsson, J. (2019). Flow distortion recorded by sonic anemometers on a long-span bridge: Towards a better modelling of the dynamic wind load in full-scale. Journal of Sound and Vibration, 450, 214-230.