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Wind and Structures Volume 13, Number 3, May 2010 , pages 293-307 DOI: https://doi.org/10.12989/was.2010.13.3.293 |
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New estimation methodology of six complex aerodynamic admittance functions |
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Y. Han, Z.Q. Chen and X.G. Hua
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Abstract | ||
This paper describes a new method for the estimation of six complex aerodynamic admittance functions. The aerodynamic admittance functions relate buffeting forces to the incoming wind turbulent components, of which the estimation accuracy affects the prediction accuracy of the buffeting response of long-span bridges. There should be two aerodynamic admittance functions corresponding to the longitudinal and vertical turbulent components, respectively, for each gust buffeting force. Therefore, there are six aerodynamic admittance functions in all for the three buffeting forces. Sears function is a complex theoretical expression for the aerodynamic admittance function for a thin airfoil. Similarly, the aerodynamic admittance functions for a bridge deck should also be complex functions. This paper presents a separated frequency-by-frequency method for estimating the six complex aerodynamic admittance functions. A new experimental methodology using an active turbulence generator is developed to measure simultaneously all the six complex aerodynamic admittance functions. Wind tunnel tests of a thin plate model and a streamlined bridge section model are conducted in turbulent flow. The six complex aerodynamic admittance functions, determined by the developed methodology are compared with the Sears functions and Davenport formula. | ||
Key Words | ||
admittance functions; Sears function; thin plates; buffeting forces; long-span bridges. | ||
Address | ||
Y. Han: Wind Engineering Research Center, College of Civil Engineering, Hunan University, Changsha 410082, Hunan, P. R. China; School of Civil Engineering and Architecture, Changsha University of Science & Technology, Changsha 410076, Hunan, P. R. China Z.Q. Chen and X.G. Hua: Wind Engineering Research Center, College of Civil Engineering, Hunan University, Changsha 410082, Hunan, P. R. China | ||