Gabriele Maiolo
Optimization of landing gear constraints based on flutter analysis.
Rel. Paolo Maggiore. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Aerospaziale, 2026
Abstract
The critical flutter speed is typically estimated through deterministic analyses, assuming perfectly known physical and geometric parameters. However, aleatory and epistemic uncertainties—particularly those associated with material properties—are inherently present in aerospace structures. This Master’s thesis addresses a specific company need: identifying the optimal configuration and location of the link connecting the landing gear door to the airframe to maximize flutter resistance. Due to business confidentiality, the specific project remains undisclosed. To account for the aforementioned uncertainties, the research establishes a probabilistic aeroelastic framework using MSC Nastran (SOL 103 and SOL 145) coupled with a Monte Carlo simulation. The analysis evaluates the flutter speed distribution for both isotropic and composite materials.
Furthermore, the fidelity of the structural model is progressively increased throughout the study, transitioning from simplified 2D models to detailed 3D representations
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