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Current status

I am now an associate professor at the Geophysical Institute and the bergen Offshore wind centre (BOW) at the University of Bergen (UiB).

Interests

Boundary layer meteorology:

- Characterization of the coherence of turbulence above the sea and in Norwegian fjords.
- Influence of the topography on the mean and turbulent flow characteristics.
- Synthetic turbulence generation in the atmospheric surface layer.
- Influence of the blocking by the surface on the spectral characteristics of turbulence.

Wind engineering:

- Turbulent wind load modelling on long-span bridges.
- Data-driven modelling for structural dynamics.
- Full-scale vibration analysis.

Lidar remote sensing of wind:

- Can scanning Doppler wind lidars measure turbulence?.
- Study of the flow around bridges with short-range and long-range wind lidar instruments.

E. Cheynet's Projects

afdd icon afdd

Automated Modal parameters identification from ambient vibrations measurement using the FDD

ahp_windresources icon ahp_windresources

Multicriteria decision analysis for wind resource assessment and environmental impact

ann_profileatm icon ann_profileatm

Code to get information on the vertical profile of the along-wind standard deviation in the atmospheric boundary layer with a shallow neural network

asd icon asd

Converting acceleration to displacements records

atmturbulence_energi322 icon atmturbulence_energi322

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

autostereogram icon autostereogram

Demo code for generating autostereograms (aka "Magic Eye" illusions). Includes code to generate the base image, map arbitrary depth mappings, and one hand-generated depth mapping to demonstrate.

bemtfunc icon bemtfunc

Blade Element Momentum Theory Function for MATLAB

carboncycle7boxes icon carboncycle7boxes

A seven-box carbon cycle model is implemented in Matlab to simulate atmospheric CO2 concentration from 1750 onwards.

chougulemodel2018 icon chougulemodel2018

Numerical implementation of the uniform shear model including stability by Chougule et al. (2018)

cohfit icon cohfit

Fitting the co-coherence of turbulence

condwindsim icon condwindsim

Matlab code for conditional wind simulation in a 2D plane

dynaresp_beam_td icon dynaresp_beam_td

The dynamic displacement response of a line-like structure to an uncorrelated Gaussian white noise input is computed in the time domain.

dynarespfd icon dynarespfd

The dynamic response of a suspension bridge to wind turbulence is computed in the frequency domain.

dynaresptd icon dynaresptd

The coupled dynamic response of a suspension bridge to wind turbulence is computed in the time domain

earthquakesim icon earthquakesim

Ground acceleration records are simulated using the non-stationnary Kanai–Tajimi model

eigenbeam icon eigenbeam

Computation of the eigenfrequencies and mode shapes of a simple beam

eigenbridge icon eigenbridge

Eigenfrequencies and mode shapes of a suspension bridge are computed using a continuum model

eigenbridge2 icon eigenbridge2

The vertical eigenfrequencies and mode shapes of a single-span suspension bridge are computed using the method by Luco et Turmo [1]. For the sake of completeness, the computed modal parameters are compared with those obtained using the method by Sigbjørnsson & Hjorth-Hansen [2] and Strømmen [3].

ekman1d icon ekman1d

Variable eddy viscosity Ekman layer in the ABL (1D)

epsd icon epsd

Evolutionary Power Spectral Density (EPSD)

fino1_nora3 icon fino1_nora3

Documentation of the dataset used in the paper "A one-year comparison of new wind atlases over the North Sea"

fitmann1994 icon fitmann1994

The parameters of the Uniform Shear Model are estimated in the least-square sense

fitogive icon fitogive

Ogive function for turbulent flux characterization

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