IFASD2024 Paper Submission & Registration
17 – 21 June 2024, The Hague, The Netherlands





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09:40   Aeroelastic optimisation 1
Chair: Andrea Da Ronch
09:40
30 mins
Topology Optimization of Aeroelastically Scaled Wing Models based on Additive Manufacturing
Afzal Suleman, Frederico Afonso, Fernando Lau, Bernardo Leite, Vasco Coelho
Abstract: The objective of this paper is to explore aeroelastic scaling methodologies that can be used to create 3D printable prototypes for wind tunnel testing. This would reduce testing costs and allow for the study of aeroelastic phenomena, including nonlinear effects such as the impact of large deformations on classical bending-torsion flutter. To achieve this goal, we plan to investigate various scaling laws based on the design requirements of both the available additive manufacturing techniques and wind tunnel. In addition to this task, we will develop aeroelastic scaling strategies based on these laws. These strategies will combine aerodynamic similitude by maintaining the outer mold line of the full-size model while tailoring the internal structure using a mix of topology optimization and sizing. The internal structure can be tailored to integrate sensors and actuators, while topology optimization can achieve structural dynamics similitude. The subject of the study is the X-56 aircraft.
10:10
30 mins
Aeroelastic optimisation of a cantilevered plate with local damping application
Ali Tatar, Stephane Fournier, Jonathan Cooper
Abstract: This paper aims to optimise the aeroelastic performance of a cantilevered plate through the application of a local damping distribution. An aeroelastic model was built in MSC Nastran 2018 using the finite element method and double lattice method for the structural and aerodynamic modelling of the cantilevered plate, respectively. For the aeroelastic flutter analyses, the number of structural and aero elements was determined based on the convergence study results. Stiffness proportional damping was employed to numerically model local damping as viscous, which allows both time and frequency domain simulations. Initially, case study analyses for structural and aeroelastic responses on the cantilevered plate model were conducted to find the sensitive local damping locations. It has been shown that maximum modal damping can be achieved by applying local damping at the maximum strain energy regions. Then, a genetic algorithm optimisation was employed to determine the optimised local damping application region for maximizing the flutter speed. It has been found that flutter speeds can be significantly shifted with the addition of local damping and higher modal damping can be achieved at maximum modal strain energy regions in aeroelastic flutter modes. This study highlights the potential usage of local damping in the structural design of wings and suggests a pathway toward practical passive local damping distribution.


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