A fluid-multibody coupling for aeroelastic applications to rotorcraft and wind turbines

Master Thesis (2020)
Author(s)

U. Boatto (TU Delft - Aerospace Engineering)

Contributor(s)

A. Viré – Mentor (TU Delft - Wind Energy)

Gianluca Romani – Mentor (TU Delft - Wind Energy)

Faculty
Aerospace Engineering
Copyright
© 2020 Umberto Boatto
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 Umberto Boatto
Graduation Date
18-02-2020
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Sponsors
Dassault Systèmes
Faculty
Aerospace Engineering
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Accurate aerodynamic and aeroacoustic simulations of helicopters and wind turbines require the inclusion of the blade elasticity into the computational setup. If low-order aerodynamic models can be efficient for optimization purposes, they are often insufficient in predicting the complex flow phenomena responsible for structural vibrations and noise. For this purpose, high-fidelity Computational Fluid Dynamics solvers coupled with Multi-Body Dynamic tools can be exploited for more accurate simulations in the context of detailed design.

This thesis focuses on the development of a coupling methodology between the Lattice-Boltzmann flow solver PowerFLOW and the Multi-Body Dynamic tool Simpack for pitching and plunging airfoils featuring lumped structural parameters. This is achieved by verifying the fluid and multibody simulation setups separately against theoretical models. Then, the coupling is compared against analytical aeroelastic solutions for several amplitudes and reduced frequencies of motion. In addition, different approaches to model the airfoil motion in the fluid solver are assessed and compared favorably against each other. As a conclusive effort, the coupling is applied to a bi-dimensional airfoil flutter case returning a prediction of the flutter velocity within a 1% difference with respect to analytical methods.

Files

License info not available