Energy-minimizing kinematics in hovering insect flight
By Gordon J. Berman, Z. J. Wang. Journal of Fluid Mechanics, 2007
477 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/3975a2b19bbe43c269e30c5dd3c1093cacfcfbf0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Muhammad R. Hajj
- Haithem E. Taha
- Ali H. Nayfeh
- Philip S. Beran
- Bret K. Stanford
- Jeff D. Eldredge
- Chengjie Wang
In Computational Mechanics
- Muhammad R. Hajj
- Ali H. Nayfeh
- Haithem E. Taha
- Philip S. Beran
- Bret K. Stanford
- Jeff D. Eldredge
- Chengjie Wang
- Abdessattar Abdelkefi
Citations in the corpus
- Wing Kinematics Optimization for Hovering Micro Air Vehicles Using Calculus of Variation (2013, methodology): “The parameters of the functions are used as design variables in the optimization process [7,11].”
- Longitudinal Flight Dynamics of Hovering MAVs/Insects (2014, methodology): “matches well the experimental results of Berman and Wang [24], where AR and a0 are the wing aspect ratio and lift curve slope of the two-dimensional (2-D) airfoil, respectively.”
- State-space representation of the unsteady aerodynamics of flapping flight (2014, methodology): “3(c), namely, those of Berman and Wang [8] and Usherwood and Ellington [52].”
- Analytical Sensitivity Analysis of an Unsteady Vortex Lattice Method for Flapping Wing Optimization (2009, methodology): “Lower-fidelity quasi-steady blade element methods (see Berman and Wang [4], Beran et al.”
- Low-order phenomenological modeling of leading-edge vortex formation (2013, background): “Current strategies for optimization and control rely on traditional quasi-steady models, constructed phenomenologically [4] or obtained experimentally by system identification [20].”