Abstract
This study proposes a new identification algorithm about the admittance function, which can estimate the full set of six aerodynamic admittance functions considering cross power spectral density functions about the forces and the turbulence components. The method was first numerically validated through Monte Carlo simulations, and then adopted to estimate the aerodynamic admittance of a streamlined bridge deck. The identification method was further validated through a comparison between the numerical calculation and wind tunnel tests on a moving bridge section.
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Supported by: National Key Basic Research Program of China (973 Program) under Grant No. 2013CB036300, Ministry of Transport Application Foundation Research Project under Grant No. 2013319822070, the National Natural Science Foundation of China under Grant Nos. 91215302, 51222809 and 51178353, and Program for New Century Excellent Talents in University
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Zhao, L., Ge, Y. Cross-spectral recognition method of bridge deck aerodynamic admittance function. Earthq. Eng. Eng. Vib. 14, 595–609 (2015). https://doi.org/10.1007/s11803-015-0048-8
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DOI: https://doi.org/10.1007/s11803-015-0048-8