Technical Papers
Aug 6, 2011

Determination of 18 Flutter Derivatives of Bridge Decks by an Improved Stochastic Search Algorithm

Publication: Journal of Bridge Engineering
Volume 17, Issue 4

Abstract

This paper addresses the determination of the 18 flutter derivatives of bridge decks from three degrees-of-freedom (3DOF) free vibration data using an improved stochastic search algorithm (ISSA) combined with the unified least-squares (ULS) method. The ISSA is capable of circumventing the local optimum dilemma in pursuing the optimal solution experienced in the traditional ULS method. The validity and accuracy of the ISSA are demonstrated by one numerical example and two long-span, cable-stayed, bridge deck sections. The attractive merit of using different lengths of vertical, torsional, and lateral vibration data in flutter derivatives identification is investigated. The identification error and modal participations in flutter are easily examined through a decomposition of modal components from the original vibration data. The underlying complexities in aeroelastic parameter identification are studied, and the causes of low accuracy of some flutter derivatives are unveiled. Based on the comparative investigation on the aerodynamic characteristics of typical streamlined and bluff bridge decks, an improved understanding of the coupled bridge flutter is achieved.

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Acknowledgments

The research is supported by the National Science Foundation of China under Grant No. 50708012 and cosupported by the China Postdoctoral Science Foundation under Grant No. 20090451473. Both of the organizations are gratefully acknowledged. The second author also acknowledges the support by NSF Grant No. CMMI-0824748.

References

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Information & Authors

Information

Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 17Issue 4July 2012
Pages: 576 - 588

History

Received: Feb 21, 2011
Accepted: Aug 4, 2011
Published online: Aug 6, 2011
Published in print: Jul 1, 2012

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Authors

Affiliations

Associate Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian, China 116024 (corresponding author). E-mail: [email protected]
X. Z. Chen
Professor, Wind Science and Engineering Research Center, Texas Technology Univ., Lubbock, TX 79409.
C. S. Cai, M.ASCE
Professor, Dept. of Civil and Environmental Engineering, Louisiana State Univ., Baton Rouge, LA 70803.
A. R. Chen
Professor, Dept. of Bridge Engineering, Tongji Univ., Shanghai, China 200092.

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