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Date of Publication:2022-10-10

Journal:振动与冲击

Affiliation of Author(s):建设工程学部

Issue:5

Page Number:144-147,156

ISSN No.:1000-3835

Abstract:The signals collected from bridge wind tunnel tests are inevitably contaminated by noises, and appear certain nonstationarity, which result in precision reduction for bridge flutter derivatives identification. In order to improve the accuracy, the intrinsic mode functions of such signals are sifted using the empirical mode decomposition (EMD), by which the high-frequency noises and low-frequency nonstationary trends are eliminated. Flutter derivatives of Sutong Bridge section model are identified using stochastic search technique based on the original collected signals and the processed ones by EMD. The difference between two sets of results is not ignorable. The analytical results indicate that EMD is a valid method for improving the identification accuracy of flutter derivatives of bridges.

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