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Earthquake.Engineering.Structural.Dynamics.Vol.34.Issue.3.Mar.2005.eBook-TLFeBOOK.pdf

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Earthquake.Engineering.Structural.Dynamics.Vol.34.Issue.3.Mar.2005.eBook-TLFeBOOK.pdf

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文档介绍:EARTHQUAKE ENGINEERING AND STRUCTURAL DYNAMICS
Earthquake Engng Struct. Dyn. 2005; 34:207–225
Published online 15 December 2004 in Wiley InterScience (.com). DOI:
Probabilistic approach for active control of structures:
Experimental veriÿcation
Jae-Seung Hwang1, Kyung-Won Min2;∗;†, Sang-Hyun Lee3 and Hongjin Kim4
1Department of Architectural Engineering; Chonnam National University; Seoul; Korea
2Department of Architectural Engineering; Dankook University; Seoul; Korea
3Research Institute of Engineering Science; Seoul National University; Seoul; Korea
4Steel Structure Research Laboratory; Research Institute of Industrial Science and Technology; Suwon; Korea
SUMMARY
In our previous study (Earthquake Engineering and Structural Dynamics 2003; 32:2301), we have
developed a probabilistic algorithm for active control of structures. In the probabilistic control algorithm,
the control force is determined by the probability that the structural energy exceeds a speciÿed target
critical energy, and the direction of a control force is determined by the Lyapunov controller design
method. In this paper, an experimental veriÿcation of the proposed probabilistic control algorithm is
presented. A three-story test structure equipped with an active mass driver (AMD) has been used. The
eectiveness of the control algorithm has been examined by exciting the test structure using a sinusoidal
signal, a scaled El Centro earthquake and a broadband Gaussian white noise; and, especially, experiments
on control have been performed under dierent conditions to that of system identiÿcation in order to
prove the stability and robustness of the proposed control algorithm. The experimental results indicate
that the probabilistic control algorithm can achieve a signiÿcant response reduction under various types
of ground excitations even when the modeling error exists. Copyright ? 2004 John Wiley & Sons, Ltd.
KEY WORDS: probabilistic control algorithm; a