Control efficiency optimization and Sobol’s sensitivity indices of MTMDs design parameters for buffeting and flutter vibrations in a cable stayed bridge

Nariman, Nazim Abdul

doi:10.1007/s11709-016-0356-8

Cited by 10 publications

(2 citation statements)

References 101 publications

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“…The buffeting suppression method includes active and passive buffeting control [6][7][8]. Optimal buffeting control of multiple tuned mass dampers [9][10][11][12] and mechanically driven flaps [13][14][15] has been a hot area of research for recent years.…”

Section: Buffeting Performance Of Bridgementioning

confidence: 99%

Buffeting performance of long-span suspension bridge based on measured wind data in a mountainous region

Yang¹,

Yao²,

Wei³

et al. 2018

J. vibroeng.

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Long-span suspension bridge increases rapidly in size as a result of bridge construction in a mountainous region, in addition, more and more long-span suspension bridges are in process of preparation. The bridge stiffness decreases with the increase of bridge span length, and hence the buffeting performance of bridge is sensitive to external factors. In this paper, the Cuntan Yangze Bridge located in a mountainous region is taken as the background to study the effect of different power spectrums on the buffeting performance. A three-dimensional finite element model is set up on the ANSYS platform. The fitted power spectrum of extreme strong wind is recorded and taken as the sample to analyze the buffeting performance. The results are compared with the specified power spectrum in the time and frequency domains. Different from existing studies, buffeting performances with the fitted power spectrum are larger than those with the specified power spectrum on the whole. Two kinds of power spectrum are coincidental in the overall tendency in the frequency domain and are distinct in the low frequency region. Structure performance of long-span suspension bridge in the mountainous region should be the subject of specially paid attention.

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Section: Buffeting Performance Of Bridgementioning

confidence: 99%

Buffeting performance of long-span suspension bridge based on measured wind data in a mountainous region

Yang¹,

Yao²,

Wei³

et al. 2018

J. vibroeng.

View full text Add to dashboard Cite

show abstract

“…Researchers have been working in external factors influence on buffeting performance, including topography [1], extreme value of typhoon [2], turbulence characteristics [3], turbulent spatial correlation coefficient [4], skew wind [5][6][7], design and measured power spectrum [8], non-stationary and stochastic excitation [2,[9][10][11]. There are also a multitude of researchers working in internal factors simultaneously, including multiple tuned mass dampers [12][13][14][15], mechanically driven flaps [16][17][18], mid-tower [19], catwalk [20], central buckle [21], and slotted deck [22]. Study method makes varied with a tendency more proper to reality, with improved analysis theories in buffeting performance, such as linear regression [6], non-linear regression analysis [21], evolutionary power spectral density [19,23], varying frequency-increment sweeping method [10], and three-dimensional simulation [24,25].…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic admittance influence on buffeting performance of suspension bridge with streamlined deck

Yao¹,

Yang²,

Wu³

et al. 2019

J. vibroeng.

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Buffeting performance is growing sensitive to external and internal factors with increasing span of bridge. Aerodynamic admittance is an essential parameter in analyzing buffeting performance. In this paper, aerodynamic admittance in different conditions were conducted in wind tunnel tests by section model. Three kinds of aerodynamic admittance functions were used to calculating buffeting performance respectively. It is found that the aerodynamic admittance of streamlined deck is closely related to wind attack angle, and has a small difference at different wind speeds. However, the influence of aerodynamic admittance on buffeting performance is affected by the wind speed significantly. Under given conditions, adopting the Sears function as the admittance function of a similar streamlined box girder is reasonable, while the buffeting performance result obtained by adopting an admittance function as 1.0 is very conservative.

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Renewed Jeeves’s Mechanical Inversion of the Material Constant of Composite Glass Box Beam via the Cumulative Bayesian Theory*

Wang¹,

Zhang

Liu

et al. 2022

Strength Mater

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Control efficiency optimization and Sobol’s sensitivity indices of MTMDs design parameters for buffeting and flutter vibrations in a cable stayed bridge

Cited by 10 publications

References 101 publications

Buffeting performance of long-span suspension bridge based on measured wind data in a mountainous region

Buffeting performance of long-span suspension bridge based on measured wind data in a mountainous region

Aerodynamic admittance influence on buffeting performance of suspension bridge with streamlined deck

Renewed Jeeves’s Mechanical Inversion of the Material Constant of Composite Glass Box Beam via the Cumulative Bayesian Theory*

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