AEROGUST

Project Details

Description

AeroGust (Aeroelastic Gust Modelling) is a collaborative research project between industry and academia funded by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement number 636053.

The project seeks to drive the competitiveness of European Aviation through cost efficiency and innovation and has taken inspiration from Flight Path 2050 whose goals include maintaining and extending industrial leadership. Further transfer of technology to the wind turbine industry will increase the renewable energy sector.

In summary the impacts of AeroGust will include:
- Reduced reliance on wind tunnel testing
- Reduced conservatism by improving accuracy and robustness
- Faster exploration of the design space through updating Reduced Order Models
- More accurate wind turbine load predictions
Alternative titleAeroelastic Gust Modelling
StatusFinished
Effective start/end date1/05/1530/09/18

Research Output

  • 4 Conference Contribution (Conference Proceeding)
  • 1 Conference Paper

Efficient Modelling of a Nonlinear Gust Loads Process for Uncertainty Quantification of Highly Flexible Aircraft

Cook, R., Wales, C., Gaitonde, A., Jones, D. & Cooper, J., 8 Jan 2018, 59th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics Inc. (AIAA), 15 p.

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Open Access
File
  • 2 Citations (Scopus)
    270 Downloads (Pure)

    Comparison of Aerodynamic Models for 1-Cosine Gust Loads Prediction

    Wales, C., Cook, R. G., Jones, D. P. & Gaitonde, A. L., 25 Jun 2017, 2017 International Forum on Aeroelasticity and Structural Dynamics (IFASD 2017): 25-28 June 2017, Como - Italy. 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
  • 120 Downloads (Pure)

    Reconstruction of Gust Velocity Profiles via Potential Flow, CFD and ROM Techniques

    Simeone, S., Rendall, T., Williams, S., Wales, C., Cooper, J., Jones, D. & Gaitonde, A., 25 Jun 2017. 18 p.

    Research output: Contribution to conferenceConference Paper

    Open Access
    File
  • 119 Downloads (Pure)