Abstract
Expression of nonlinear aerodynamic phenomena and calculation of nonlinear aeroelastic response require accurate and concise aeroelastic force function. In this paper, a group sparse regression method is used to reveal the nonlinear mapping aerodynamics relationship between motion and force from data. The aeroelastic force function discovered by this method balances modeling accuracy and simplicity. A quasi-flat plate in coupled vertical–torsional harmonic motion is employed as an experimental object in this work. Aerodynamic motion-force dataset is collected by forced motion test in wind tunnel, including 484 cases. The sparse regression analytic result shows that αα̇,α3,α̇3 (α is torsional displacement) can represent the nonlinearity in aerodynamic for all cases, even wind speed, amplitude, amplitude ratio, frequency ratio, and angle of attack are in different combinations.
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Reference60 articles.
1. Amman, O. H., Von Kármán, T., and Woodruff, G. B., “The failure of the Tacoma narrows bridge,” Technical Report No. 105559175, 1941.
2. Reduced-order modeling of flutter and limit-cycle oscillations using the sparse volterra series;J. Aircr.,2012
3. Der schlagflügelpropeller und die kleinen schwingungen elastisch befestigter tragflügel;Z. Flugtech. Motorluftschiffahrt,1924
4. On the viscous flow about the trailing edge of a rapidly oscillating plate;J. Fluid Mech.,1975
5. Discovering governing equations from data by sparse identification of nonlinear dynamical systems;Proc. Natl. Acad. Sci. U. S. A.,2016
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