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논문 기본 정보

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학술저널
저자정보
Nikitas, Nikolaos (Department of Civil Engineering, University of Bristol) Macdonald, John H.G. (Department of Civil Engineering, University of Bristol) Jakobsen, Jasna B. (Department of Mechanical and Structural Engineering and Material Science, University of Stavanger)
저널정보
테크노프레스 Wind & structures Wind & structures 제14권 제3호
발행연도
2011.1
수록면
221 - 238 (18page)

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The estimated response of large-scale engineering structures to severe wind loads is prone to modelling uncertainties that can only ultimately be assessed by full-scale testing. To this end ambient vibration data from full-scale monitoring of the historic Clifton Suspension Bridge has been analysed using a combination of a frequency domain system identification method and a more elaborate stochastic identification technique. There is evidence of incipient coupling action between the first vertical and torsional modes in strong winds, providing unique full-scale data and making this an interesting case study. Flutter derivative estimation, which has rarely previously been attempted on full-scale data, was performed to provide deeper insight into the bridge aerodynamic behaviour, identifying trends towards flutter at higher wind speeds. It is shown that, as for other early suspension bridges with bluff cross-sections, single-degree-of-freedom flutter could potentially occur at wind speeds somewhat below requirements for modern designs. The analysis also demonstrates the viability of system identification techniques for extracting valuable results from full-scale data.

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