A novel long short-term memory neural-network-based self-excited force model of limit cycle oscillations of nonlinear flutter for various aerodynamic configurations
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Title
A novel long short-term memory neural-network-based self-excited force model of limit cycle oscillations of nonlinear flutter for various aerodynamic configurations
Authors
Keywords
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Journal
NONLINEAR DYNAMICS
Volume 100, Issue 3, Pages 2071-2087
Publisher
Springer Science and Business Media LLC
Online
2020-04-25
DOI
10.1007/s11071-020-05631-5
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- Stall flutter of NACA 0012 airfoil at low Reynolds numbers
- (2013) Shantanu S. Bhat et al. JOURNAL OF FLUIDS AND STRUCTURES
- Low speed flutter and limit cycle oscillations of a two-degree-of-freedom flat plate in a wind tunnel
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- Efficient Method for Limit Cycle Flutter Analysis Based on Nonlinear Aerodynamic Reduced-Order Models
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- Cross-sectional distributions versus integrated coefficients of flutter derivatives and aerodynamic admittances identified with surface pressure measurement
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