TY - GEN
T1 - Preference based genetic algorithm for the optimum design of integrated structural control system
AU - Park, Wonsuk
AU - Ha, Dong Ho
AU - Park, Kwan Soon
AU - Choo, Jikyo F.
PY - 2009
Y1 - 2009
N2 - This paper proposes an optimal design of a hybrid system for the mitigation of wind-induced vibration in high-rise buildings. Even if effective control performance can be achieved by the hybrid system which applies simultaneously both active and passive control devices, its design is extremely complicated due to the increase of the design variables. This paper considers a hybrid system composed of hybrid mass damper and viscous dampers. The corresponding design variables are the mass, tuning ratio, damping ratio, damper locations and capacity of the dampers. Since the minimization of cost factors is also a matter of utmost importance, the required control efforts and dynamic responses of the target structure are selected as objective functions to be minimized. Therefore, the problem is formulated as a multi-objective optimization problem involving the design of two different types of systems. The validity of the proposed optimization technique is verified through a wind-excited 20-story building with hybrid control system and comparative results with non-hybrid design approach are presented.
AB - This paper proposes an optimal design of a hybrid system for the mitigation of wind-induced vibration in high-rise buildings. Even if effective control performance can be achieved by the hybrid system which applies simultaneously both active and passive control devices, its design is extremely complicated due to the increase of the design variables. This paper considers a hybrid system composed of hybrid mass damper and viscous dampers. The corresponding design variables are the mass, tuning ratio, damping ratio, damper locations and capacity of the dampers. Since the minimization of cost factors is also a matter of utmost importance, the required control efforts and dynamic responses of the target structure are selected as objective functions to be minimized. Therefore, the problem is formulated as a multi-objective optimization problem involving the design of two different types of systems. The validity of the proposed optimization technique is verified through a wind-excited 20-story building with hybrid control system and comparative results with non-hybrid design approach are presented.
KW - Component
KW - Genetic algorithm
KW - Hybrid contro system
KW - Multi-objective optimization
KW - Wind-induced vibration
UR - http://www.scopus.com/inward/record.url?scp=73549085638&partnerID=8YFLogxK
U2 - 10.1109/NCM.2009.164
DO - 10.1109/NCM.2009.164
M3 - Conference contribution
AN - SCOPUS:73549085638
SN - 9780769537696
T3 - NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
SP - 389
EP - 392
BT - NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
T2 - NCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications
Y2 - 25 August 2009 through 27 August 2009
ER -