Welcome to PyConTurb

- An open-source, constrained-turbulence generator for loads validation.

Quick links: Install PyConTurb, Get started, Reporting bugs, Source code.

The image above shows an example of a turbulence box that has been simulated from five measured time series. This sort of constrained turbulence simulation is particularly useful during wind-turbine loads validation, when it is important to adequately characterize the inflow in order to validate an aeroelastic model.

PyConTurb is a package that can be used to generate turbulence boxes that are constrained on measurements. The type of constraint is flexible, whether it be a spatially varying mean or standard deviation or whether it is constrained directly to a time series. To get started, check out Getting started.

The source code is located here on GitLab.

Contents:

• Installation
  • Install Python
  • Create environment
  • Requirements
  • Normal user
  • Advanced user
• Getting started
  • What is PyConturb?
  • Your first simulations
• User guide
  • Enhancing performance
  • Common mistakes
  • Bugs and feature requests
• Examples
  • Unconstrained turbulence
  • Custom wind speed and sig profiles
  • Constrained turbulence
  • Pregenerating coherence
  • The PyConTurb interpolator
  • Interpolation of profiles from data
  • Saving to file
• Function reference
  • Generating turbulence
  • Mean wind speed profiles
  • Turbulence standard deviation
  • Turbulence spectra
  • Spatial coherence
  • TimeConstraint
  • Interpolator
• Research
  • Constrained-turbulence theory
  • Publications
  • Projects
• Developer corner
  • Developer install
  • Versioning
  • Submitting merge requests
• Contributors