Abstract
A computational co-simulation framework to study the aeroelastic behavior of a variety of aeronautical systems characterized by highly flexible structures undergoing complex motions in space and immersed in a low-subsonic flow is presented. The authors combine a non-linear aerodynamic model based on an extended version of the unsteady vortex-lattice method with a non-linear structural model based on a segregated formulation of Lagrange’s equations obtained with the Floating Frame of Reference formalism. The structural model construction allows for hybrid combinations of different models typically used with multi-body systems, such as models based on rigid-body dynamics, assumed-modes techniques, and finite-element methods. The governing equations are numerically integrated in the time domain to obtain the structural response and the consistent flowfield around it. The integration is based on the fourth-order predictor-corrector method of Hamming. The findings are found to capture known non-linear behavior of these non-conventional flight systems. The developed framework should be relevant for conducting aeroelastic studies on a wide variety of aeronautical systems such as: micro-air-vehicles (MAVs) inspired by biology, morphing wings, and joined-wing aircrafts, among others.
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Acknowledgments
The authors gratefully acknowledge the partial support received from the Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina, the U.S. National Science Foundation through Grant No. CMMI-1250187, the U.S. Air Force Office of Scientific Research through Grant No. FA95501510134, and the Minta Martin Foundation. In addition, the authors would like to thank the Grupo de Matemática Aplicada (GMA), Engineering School, Universidad Nacional de Río Cuarto, Argentina.
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Preidikman, S., Roccia, B.A., Verstraete, M.L., Ceballos, L.R., Balachandran, B. (2018). A Computational Aeroelastic Framework for Studying Non-conventional Aeronautical Systems. In: Carvalho, J., Martins, D., Simoni, R., Simas, H. (eds) Multibody Mechatronic Systems. MuSMe 2017. Mechanisms and Machine Science, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-319-67567-1_31
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DOI: https://doi.org/10.1007/978-3-319-67567-1_31
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