TY - GEN
T1 - Evolving strategies for active flow control
AU - Milano, Michele
AU - Koumoutsakos, Petros
AU - Giannakopoulos, Xavier
AU - Schmidhuber, Jiirgen
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-14
PY - 2000/1/1
Y1 - 2000/1/1
N2 - Rechenberg and Schwefel (Rechenberg, 1994) came up with the idea of evolution strategies for flow optimization. Since then advances in computer architectures and numerical algorithms have greatly decreased computational costs of realistic flow simulations, and today computational fluid dynamics (CFD) is complementing flow experiments as a key guiding tool for aerodynamic design. Of particular interest are designs with active devices controlling the inherently unsteady flow fields, promising potentially drastic performance leaps. We demonstrate that CFD-based design of active control strategies can benefit from evolutionary computation. We optimize the flow past an actively controlled circular cylinder, a fundamental prototypical configuration. The flow is controlled using surface-mounted vortex generators; evolutionary algorithms are used to optimize actuator placement and operating parameters. We achieve drag reduction of up to 60 percent, outperforming the best methods previously reported in the fluid dynamics literature on this benchmark problem. © 2000 IEEE.
AB - Rechenberg and Schwefel (Rechenberg, 1994) came up with the idea of evolution strategies for flow optimization. Since then advances in computer architectures and numerical algorithms have greatly decreased computational costs of realistic flow simulations, and today computational fluid dynamics (CFD) is complementing flow experiments as a key guiding tool for aerodynamic design. Of particular interest are designs with active devices controlling the inherently unsteady flow fields, promising potentially drastic performance leaps. We demonstrate that CFD-based design of active control strategies can benefit from evolutionary computation. We optimize the flow past an actively controlled circular cylinder, a fundamental prototypical configuration. The flow is controlled using surface-mounted vortex generators; evolutionary algorithms are used to optimize actuator placement and operating parameters. We achieve drag reduction of up to 60 percent, outperforming the best methods previously reported in the fluid dynamics literature on this benchmark problem. © 2000 IEEE.
UR - http://ieeexplore.ieee.org/document/870297/
UR - http://www.scopus.com/inward/record.url?scp=0033672374&partnerID=8YFLogxK
U2 - 10.1109/CEC.2000.870297
DO - 10.1109/CEC.2000.870297
M3 - Conference contribution
SP - 212
EP - 218
BT - Proceedings of the 2000 Congress on Evolutionary Computation, CEC 2000
PB - IEEE Computer [email protected]
ER -