Post-critical behavior of galloping for main cables of suspension bridges in construction phases

Wang, Chaoqun; Hua, Xugang; Huang, Zhiwen; Tang, Yu

doi:10.1016/j.jfluidstructs.2020.103205

Cited by 19 publications

(8 citation statements)

References 40 publications

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“…The computational domain mesh was generated using the preprocessing software ICEM 15.0, with the computational domain taking the form of an overlapping external and internal region [56]. The external region was 15B long and 15D high, with the inlet boundary being the velocity inlet located 5B from the center of the section and the outlet boundary being the pressure outlet located 10B from the center.…”

Section: Solution Setting and Mesh Divisionmentioning

confidence: 99%

Research on Mechanism of Vortex-Induced Vibration Railing Effect of Double-Deck Large-Span Suspension Bridge

et al. 2023

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Large-span suspension bridges are susceptible to wind loads. Therefore, a more precise analysis of their wind-induced vibration response is necessary to ensure the structure’s absolute safety. This investigation conducted wind tunnel tests for the construction and completion stages to reveal the vortex-induced vibration (VIV) phenomenon of a double-deck suspension bridge. The results showed that no VIV occurred during the construction stage. However, the inclusion of railings significantly deteriorated the aerodynamic performance of the suspension bridge, leading to significant VIV at +3° and +5° wind angles of attack. Additionally, reducing the railing ventilation rate can significantly suppress the VIV amplitude. A new analysis method based on computational fluid dynamics (CFD) simulation is proposed to investigate the VIV mechanism of the double-deck truss girder. Twenty-nine measurement points were used to explore the vortex that causes VIV. The numerical simulations found that the area above and aft of the upper deck dominated the vertical VIV, while the aft of the lower deck dominated the torsional VIV. Furthermore, the intensity of the vortex in these areas was significantly lower during the construction stage. Moreover, reducing the railing ventilation rate significantly suppresses the torsional VIV by reducing the intensity of the vortex in the region behind the lower deck.

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Section: Solution Setting and Mesh Divisionmentioning

confidence: 99%

Research on Mechanism of Vortex-Induced Vibration Railing Effect of Double-Deck Large-Span Suspension Bridge

et al. 2023

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“…Wind tunnel testing is expensive and requires excellent equipment. As CFD takes less time compared to wind tunnel testing and less cost, that's why the CFD method is used nowadays (C. Wang et al 2021) (Jagbir and Kumar 2021). CFD method is not used to forecast the structural response but is used to forecast the response of uid ow (Roy et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Fluttering Derivatives of Bridge Deck Using CFD Simulation

Chauhan,

Roy,

Yadav

2023

Preprint

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In this paper, the dynamic analysis of wind effects on the bridge deck section is determined with the help of CFD simulation. As the wind tunnel testing approach is high-priced and time-consuming, there is a need for an alternative approach. The investigation on the bridge deck is carried out using ANSYS software. In this bridge deck design, with the help of numerical models like Fluid-Structure Interaction (FSI) to find flutter derivatives of the piece of the bridge deck. The forces, moments, and coefficients are calculated using different wind speeds. For this steady and unsteady procedures have been taken. For calculations of mean force coefficients, the K-ω SST turbulence models are taken into consideration. The bridge deck section’s flutter derivatives require spatial histories, stable simulations, and static aerodynamic coefficients. With the help of ICEM CFD, the meshing of the deck is carried out. In this, the dynamic behavior of wind all over the section of the bridge deck is investigated with different wind speeds.

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“…The proposed model is experimentally validated considering an unsteady galloping test of an elastically supported rectangular 2:1 cylinder sectional model. Keywords: aerodynamic nonlinearities; time domain model; nonlinear indicial functions; aerodynamic transfer functions; limit cycle oscillation aeroelastic instabilities, such as the linear flutter derivative model by Scanlan and Tomko [6-7], the Glauert-Den Hartog criterion for galloping instability [3], and the linear VIV model [1].However, a nonlinear model is required to accurately predict the transient responses, especially the stable amplitudes of LCOs [3][4][5][8][9][10][11][12][13][14].Existing self-excited models incorporating aerodynamic nonlinearity and unsteadiness can be broadly classified into two categories. The first type is expressed in a hybrid time-frequency domain using the concept of amplitude-dependent flutter derivatives [15][16][17] (also referred as "describing function model" by Zhang et al [11]).…”

mentioning

confidence: 99%

“…They also employ a polynomial function of vibration amplitude to account for aerodynamic nonlinearity.Many semi-empirical nonlinear models can be reduced to a nonlinear amplitude-dependent flutter-derivative model [4-5, 8-12,16-20]. For example, the nonlinear VIV model by Ehsan and Scanlan [18], Larsen [19] and recently Zhu et al [20], the 1DOF and 2DOF nonlinear flutter models [10,[16][17] and the unsteady galloping models [4,9]. These models offer the advantage of flexibility in parameter identification, as the parameters can be determined from sectional model vibration responses obtained from wind tunnel tests or computational fluid dynamics (CFD) using free or forced vibration.…”

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confidence: 99%

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Nonlinear indicial functions for modelling aeroelastic forces of bluff bodies

Gao,

Zhu,

Øiseth

2023

Nonlinear Dyn

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This study introduces a novel time-domain model of nonlinear indicial functions to capture the amplitude dependency of self-excited forces in aeroelastic instabilities, including flutter, vortex-induced vibration (VIV), and unsteady galloping. The model aims to reproduce the nonlinear aerodynamic forces that arise from large amplitude oscillations causing variations in the transient wind angle of attack. The model assumes that the decay coefficients in the indicial functions can be taken as nonlinear functions of the transient angle of attack induced by the body motion, enabling the incorporation of both amplitude dependency and memory effect within a simple time domain model. The proposed model is experimentally validated considering an unsteady galloping test of an elastically supported rectangular 2:1 cylinder sectional model. Keywords: aerodynamic nonlinearities; time domain model; nonlinear indicial functions; aerodynamic transfer functions; limit cycle oscillation aeroelastic instabilities, such as the linear flutter derivative model by Scanlan and Tomko [6-7], the Glauert-Den Hartog criterion for galloping instability [3], and the linear VIV model [1].However, a nonlinear model is required to accurately predict the transient responses, especially the stable amplitudes of LCOs [3][4][5][8][9][10][11][12][13][14].Existing self-excited models incorporating aerodynamic nonlinearity and unsteadiness can be broadly classified into two categories. The first type is expressed in a hybrid time-frequency domain using the concept of amplitude-dependent flutter derivatives [15][16][17] (also referred as "describing function model" by Zhang et al [11]). These models assume that the aerodynamic coefficients are frequency dependent to model the aerodynamic unsteadiness. They also employ a polynomial function of vibration amplitude to account for aerodynamic nonlinearity.Many semi-empirical nonlinear models can be reduced to a nonlinear amplitude-dependent flutter-derivative model [4-5, 8-12,16-20]. For example, the nonlinear VIV model by Ehsan and Scanlan [18], Larsen [19] and recently Zhu et al. [20], the 1DOF and 2DOF nonlinear flutter models [10,[16][17] and the unsteady galloping models [4,9]. These models offer the advantage of flexibility in parameter identification, as the parameters can be determined from sectional model vibration responses obtained from wind tunnel tests or computational fluid dynamics (CFD) using free or forced vibration. Consequently, they generally exhibit high accuracy and have a simple mathematical form. However, due to the frequency-dependent coefficients, these models have limitations since they only work for a single harmonic input which is a problem when considering structural nonlinearities of flexible structures [21][22].These models indicate that the aerodynamic nonlinearity of bluff body aeroelasticity is weak and can be adequately modelled using a perturbation method, reducing the modelling of aerodynamic nonlinearity to the amplitude-dependency of linear parameters [17]. This assu...

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Post-critical behavior of galloping for main cables of suspension bridges in construction phases

Cited by 19 publications

References 40 publications

Research on Mechanism of Vortex-Induced Vibration Railing Effect of Double-Deck Large-Span Suspension Bridge

Research on Mechanism of Vortex-Induced Vibration Railing Effect of Double-Deck Large-Span Suspension Bridge

Assessment of Fluttering Derivatives of Bridge Deck Using CFD Simulation

Nonlinear indicial functions for modelling aeroelastic forces of bluff bodies

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