반능동 MR 유체 감쇠기를 이용한 지진하중을 받는 구조물의 신경망 제어

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A new semi-active control strategy for seismic response reduction using a neuro-controller and a magnetorheological (MR) fluid damper is proposed. The proposed control system consists of the improved neuro-controller and the bang-bang-type controller. The improved neuro-controller, which was developed by employing the training algorithm based on a cost function and the sensitivity evaluation algorithm replacing an emulator neural network, produces the desired active control force, and then the bang-bang-type controller causes the MR fluid damper to generate the desired control force, so long as this force is dissipative. In numerical simulation, a three-story building structure is semi-actively controlled by the trained neural network under the historical earthquake records. The simulation results show that the proposed semi-active neuro-control algorithm is quite effective to reduce seismic responses. In addition, the semi-active control system using MR fluid dampers has many attractive features, such as the bounded-input, bounded-output stability and small energy requirements. The results of this investigation, therefore, indicate that the proposed semi-active neuro-control strategy using MR fluid dampers could be effectively used for control of seismically excited structures.
Publisher
한국전산구조공학회
Issue Date
2002-10
Language
KOR
Citation

2002년도 한국전산구조공학회 가을 학술발표회, pp.313 - 320

URI
http://hdl.handle.net/10203/138042
Appears in Collection
CE-Conference Papers(학술회의논문)
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