Comparative and sensitivity study of flutter derivatives of selected bridge deck sections, Part 2: Implications on the aerodynamic stability of long-span bridges

Caracoglia, Luca; Sarkar, Partha Pratim; Haan, Frederick L.; Satō, Hiroshi; Murakoshi, Jun

doi:10.1016/j.engstruct.2009.04.003

Cited by 23 publications

(10 citation statements)

References 9 publications

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“…Sources of discrepancies of experimental results and uncertainties are pointed out and analyzed. Implications of these discrepancies to the onset of instability have been analyzed in Caracoglia et al (2009).…”

Section: Identification Of Flutter Derivatives Based On Experimental mentioning

confidence: 98%

Bridge flutter derivatives based on computed, validated pressure fields

Šarkić

Fisch

Höffer

et al. 2012

Journal of Wind Engineering and Industrial Aerodynamics

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Section: Identification Of Flutter Derivatives Based On Experimental mentioning

confidence: 98%

Bridge flutter derivatives based on computed, validated pressure fields

Šarkić

Fisch

Höffer

et al. 2012

Journal of Wind Engineering and Industrial Aerodynamics

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“…The coupled-mode aeroelastic instability can be derived 44 by Fourier-domain analysis of two-dimensional system of equations described above in terms of complex amplitudes of the generalized 1 , 1 in Eq. (3), expressed in vector form as ̄ = ̄ 1 , ̄ 1 .…”

Section: Flutter Critical Wind Speedmentioning

confidence: 99%

Life-cycle assessment for flutter probability of a long-span suspension bridge based on field monitoring data

Chu,

Sinh,

Cui

et al. 2021

Preprint

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Assessment of structural safety status is of paramount importance for existing bridges, where accurate evaluation of flutter probability is essential for long-span bridges. In current engineering practice, at the design stage, flutter critical wind speed is usually estimated by the wind tunnel test, which is sensitive to modal frequencies and damping ratios. After construction, structural properties of existing structures will change with time due to various factors, such as structural deteriorations and periodic environments. The structural dynamic properties, such as modal frequencies and damping ratios, cannot be considered as the same values as the initial ones, and the deteriorations should be included when estimating the life-cycle flutter probability. This paper proposes an evaluation framework to assess the life-cycle flutter probability of long-span bridges considering the deteriorations of structural properties, based on field monitoring data. The Bayesian approach is employed for modal identification of a suspension bridge with the main span of 1650 m, and the field monitoring data during 2010-2015 is analyzed to determine the deterioration functions of modal frequencies and damping ratios, as well as their inter-seasonal fluctuations.According to the historical trend, the long-term structural properties can be predicted, and the probability distributions of flutter critical wind speed for each year in the long term are calculated. Consequently, the life-cycle flutter probability is estimated, based on the predicted modal frequencies and damping ratios.

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“…Thus, the procedure can be summarized as: perform forced oscillation tests in still air and under the action of the wind in either vertical (heave) or torsional (pitch) motion, calculate a best-fit harmonic of the same forcing frequency to obtain the force amplitude coefficients and phase shifts related to the applied motion, Eqs. (6) calculate the differences between two measurements, from Eq. 7calculate the derivatives from Eqs.…”

Section: Identification Of Flutter Derivativesmentioning

confidence: 99%