Sun, Qiao. 2025. « Across the modeling spectrum: Analytical and hybrid approaches to vibrations in mechanical drivetrains ». Communication lors de la conférence : CSME-CFDSC-CSR 2025 International Congress (Montreal, QC, Canada, May 25-28, 2025).
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Résumé
Mechanical drivetrains - whether in rotorcraft or wind turbines - pose persistent challenges for dynamics modeling due to nonlinearities, multi-scale behavior, and evolving performance demands. This talk explores vibration modeling across two distinct but mechanically linked systems: a helicopter tail rotor driveline with friction-induced impacts, and a wind turbine blade-rotor system with complex aeroelastic dynamics. In the first part, we present a semi-analytical approach to model the nonlinear vibratory response of a tail rotor driveline incorporating a dry friction damper. Through this framework, parametric insights are obtained, enabling efficient optimization for vibration mitigation and robustness. The method balances analytical tractability with real-system complexity. In the contrast, the second part transitions to a hybrid modeling paradigm applied to wind turbine systems. Here, high-order structural dynamics are captured using a data-driven approach informed by physical priors, enabling refined predictions without sacrificing computational feasibility. Together, these case studies illustrate a continuum of modeling strategies - ranging from foundational analytical techniques to modern data-enhanced framework - each chosen to match system characterises and design objectives. I will end the presentation with our recent development on digital twins aiming for both predictability and adaptability across a system’s lifecycle.
| Type de document: | Communication (Communication) |
|---|---|
| Informations complémentaires: | Progress in Canadian Mechanical Engineering, Volume 8. Co-chairs: Lucas A. Hof, Giuseppe Di Labbio, Antoine Tahan, Marlène Sanjosé, Sébastien Lalonde and Nicole R. Demarquette. |
| Date de dépôt: | 18 déc. 2025 14:18 |
| Dernière modification: | 18 déc. 2025 14:18 |
| URI: | https://espace2.etsmtl.ca/id/eprint/31957 |
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