Aeroelastic optimization of composite wings including fatigue loading requirements

Journal Article (2019)
Author(s)

Darwin Rajpal (TU Delft - Aerospace Structures & Computational Mechanics)

Christos Kassapoglou (TU Delft - Aerospace Structures & Computational Mechanics)

R. Breuker (TU Delft - Aerospace Structures & Computational Mechanics)

Research Group
Aerospace Structures & Computational Mechanics
Copyright
© 2019 D. Rajpal, C. Kassapoglou, R. De Breuker
DOI related publication
https://doi.org/10.1016/j.compstruct.2019.111248
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 D. Rajpal, C. Kassapoglou, R. De Breuker
Research Group
Aerospace Structures & Computational Mechanics
Volume number
227
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

An analytical model to predict the fatigue life of a composite laminate is formulated. The model calculates stresses in each ply using classical lamination theory, degrades the residual strength using the linear wear-out law and predicts failure based on Tsai Wu failure theory. The cycles to failure are predicted using the updated cycle-by-cycle probability of failure. The predictions are validated for both a constant amplitude and a variable amplitude loading on a Glass/Epoxy laminate. Additionally the analytical model is extended to work with laminates described using lamination parameters instead of ply angles and stacking sequence. The analytical fatigue model is then integrated in the TU Delft aeroelastic and structural optimization tool PROTEUS. A thickness and stiffness optimization of the NASA Common Research Model (CRM) wing has been carried out. Results show that fatigue, strength and stiffness are the design drivers in the aeroelastic optimization of a composite wing. Furthermore, by including the analytical fatigue model instead of using a traditional knockdown factor to account for fatigue, a lighter wing is obtained.

Files

Manuscript.pdf
(pdf | 4.69 Mb)
- Embargo expired in 09-08-2021