Construction stages of the long span suspension Izmit Bay Bridge: Wind tunnel test assessment

Diana, Giorgio; Yamasaki, Yasutsugu; Larsen, Allan; Rocchi, Daniele; Giappino, Stefano Giuseppe; Argentini, Tommaso; Pagani, Andrea N.; Villani, Marco; Somaschini, Claudio; Portentoso, Michele

doi:10.1016/j.jweia.2013.09.006

Cited by 33 publications

(16 citation statements)

References 9 publications

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“…The iterative scheme is shown below: 1) Assume the horizontal force 3) Substitute them into Eqs. (10), (13), 7, (8) and 9, 10) Check convergence conditions…”

Section: Solution Analysis Of the Systemmentioning

confidence: 99%

“…Suspension bridge [1][2][3][4][5][6][7] is widely used to cross the long-span barriers in engineering and its mechanical behaviors during construction have attracted the special attention of researchers [8][9][10][11][12][13][14][15]. The girder erection is the key and difficult step for the construction of the long span suspension bridges in mountainous area.…”

Section: Introductionmentioning

confidence: 99%

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Form-Finding Analysis on the Rail Cable Shifting System of the Long Span Suspension Bridges

Quan¹,

Donghuang²,

Yi³

2018

Preprint

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The determination of the non-loading condition of the rail cable shifting (RCS) system, which consists of main cables, hangers and rail cables, is the premise of the girder erection for the long-span suspension bridges. An analytical form-finding analysis model of shifting system is established according to the basic assumptions of flexible cable structures. Herein, the rail cable is discretized into segmental linear cable elements and the main cable is discretized into segmental catenary elements. Moreover, the calculation and analysis equation of each member and their iterative solutions are derived by taking the elastic elongation of the sling into account. In addition, by taking the girder construction of Aizhai suspension bridge as engineering background, a global scale model of the RCS system is designed and manufactured; also the test system and working conditions are established. The comparison between the test results and analytical results shows the presented analytical method is correct and effective. The process is simplified in the analytical method, and the computational results and precision can satisfy the practical engineering requirements. In addition, the proposed method is suitable to apply to the computation analysis of similar structures.

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“…The iterative scheme is shown below: 1) Assume the horizontal force 3) Substitute them into Eqs. (10), (13), 7, (8) and 9, 10) Check convergence conditions…”

Section: Solution Analysis Of the Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Form-Finding Analysis on the Rail Cable Shifting System of the Long Span Suspension Bridges

Quan¹,

Donghuang²,

Yi³

2018

Preprint

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“…With the progress of science and technology, more and more long, thin and flexible bridges are applied by engineers to practice. These bridges become increasingly sensitive to wind, which makes researches on the wind resistance vibration of bridges increasingly important [1][2][3]. When a vehicle passes by a bridge, the bridge not only bears static loads caused by its weight, but also sustains the moving loads of the vehicle and the inertia force caused by vehicle vibration to the bridge.…”

Section: Introductionmentioning

confidence: 99%

Numerical computation for vibration characteristics of long-span bridges with considering vehicle-wind coupling excitations based on finite element and neural network models

Wang¹,

Jiang²

2017

J. vibroeng.

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Abstract. CA (Cellular Automaton) model was applied to the simulation of random traffic flow to develop a model considering the randomness of traffic flow and apply it to wind-vehicle-bridge coupling vibration. Finite element and neural network models were adopted respectively to numerically compute the vibration characteristics of bridges under wind and vehicle loads, verify the correctness of model. Subspace iteration method was used for the modal analysis of bridges. Natural frequencies of the top 8 orders were 0.21 Hz, 0.27 Hz, 0.36 Hz, 0.45 Hz, 0.56 Hz, 0.66 Hz, 0.87 Hz and 1.02 Hz respectively. The vibration frequency of the long-span bridge was consistent with the vibration characteristics of large-scale complex structures. Natural modes mainly reflected the torsion and bending of main beam and the swinging vibration of side and main towers. Fluctuation wind time-history presented periodic characteristics. The maximum and minimum values of fluctuation wind were about 20 m/s and -20 m/s respectively. The target and simulation values of power spectral density of wind speed were basically the same in change trend, which indicated that the fluctuation wind time-history computed in this paper was reliable. The model of dense traffic flow based on CA more truly described the running status like accelerating, decelerating and changing lanes of vehicles on the bridge, also contained the density information of vehicles and more truly reflected traffic characteristics. Vibration accelerations of the long-span bridge were symmetrically distributed. Vibration acceleration of central position in the left main span was the largest and near 50 cm/s 2 ; vibration acceleration on the main tower was the smallest. The curve of vibration displacement with considering wind loads presented some fluctuations, while the vibration displacement of bridges without considering wind loads was very smooth. In addition, the amplitude of vibration displacement without considering wind loads moved laterally towards the left compared with that with considering wind loads. Therefore, wind loads must be considered when the vibration characteristics of the long-span bridge were computed. Otherwise, the accuracy of computational results would be reduced. It only took 0.5 hours to use neural network to predict the vibration acceleration of the long-span bridge. In the case of the same computer performance, it took 5 hours to use finite element model to predict the vibration acceleration of the long-span bridge. The advantage of neural network model in predicting the performance of large-scale complex structures like a long-span bridge could be obviously found. In the future, we will consider using neural network model to systematically study and optimize the long-span bridge.

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“…As bridge's span get larger and longer than any other type of bridge, it results in high susceptibility to dynamic load, wind-induced vibrations and low bending-torsional frequencies [4,5].…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of variation Span and Turning Angle against Width in suspension bridge

Supriyadi¹,

Hadjoh²,

Siswosukarto³

2017

Fifth International Conference on Advances in Civil, Structural and Mechanical Engineering - CSM 2017

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Abstract-One of the critical issues for a long suspension bridge is the vibration induced by wind. The excessive vibration on long suspension bridge owing to bridge flexibility may cause the bridge's aerodynamic instability and vehicle accidents. Therefore, in the present study, the optimum ratio for the span and turning angle to bridge width was investigated. The analysis was carried out on bridge with total span of 470m, main span 270m and side span 100m, using variations of bridges width ranging from 9m to 22m. SAP2000 program was used to analyze the stability behavior of the suspension bridge under wind load at speed of 35m/s. The results of analysis shows that the optimum ratio of span to width bridge is 0.034L or L= 29.375b. When the turning angle was taken into consideration in the analysis, it will result in increasing the bridge's stability, decreasing natural frequency of the structure and increasing stresses on the cables. Further, it was also found that the deflection and the internal forces on the girder meet the specified limits by AASHTO and AISC standard specification.

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Construction stages of the long span suspension Izmit Bay Bridge: Wind tunnel test assessment

Cited by 33 publications

References 9 publications

Form-Finding Analysis on the Rail Cable Shifting System of the Long Span Suspension Bridges

Form-Finding Analysis on the Rail Cable Shifting System of the Long Span Suspension Bridges

Numerical computation for vibration characteristics of long-span bridges with considering vehicle-wind coupling excitations based on finite element and neural network models

Stability Analysis of variation Span and Turning Angle against Width in suspension bridge

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