Giter VIP home page Giter VIP logo

Comments (3)

jjonkman avatar jjonkman commented on July 18, 2024

Dear @126qoq,

Here are my responses:

  1. The tower-top boundary conditions are quite different in the fore-aft and side-side directions, e.g, different rotor-nacelle assembly (RNA) inertias, different blade flexibility flapwise and edgewise, as well as the impact of the free generator rotation on the side-side mode.
  2. Computing FFTs of time series from simulations with stochastic excitation is one way to identify full-system natural frequencies. Full system linearization of the OpenFAST model, followed by eigenanalysis is another way.
  3. I'm not sure. Can you clarify the approach you used to compute the tower natural frequencies through linearization? Where the same degrees of freedom in the RNA enabled in both models (FFT versus linearization)?

Best regards,

from openfast.

126qoq avatar 126qoq commented on July 18, 2024

Dear Dr. Jonkman,

Thank you for your answer. I didn't actually do the linearization.The tower natural frequencies through linearization are my quotes from other people's calculations: https://forums.nrel.gov/t/the-frequency-component-of-flapwise/1730/4 Actually, I'm more interested in figuring out if my calculations via FFT make sense or not.

Best regards,

from openfast.

jjonkman avatar jjonkman commented on July 18, 2024

Dear @126qoq,

The preferred way to calculate the full-system natural frequencies is through an OpenFAST linearization analysis. I suggest using that to verify your estimation of natural frequencies through FFT.

Best regards,

from openfast.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.