Investigation on the dynamic impact factor of a concrete filled steel tube butterfly arch bridge

The essence of the axle coupling vibration in case of random bridge deck is random vibration, therefore, it is quite necessary to research the effect of vehicle impact on basis of statistic analysis. With some large concrete-filled steel tube arch bridge as the object, by applying a self-made analysis program on axle coupling vibration that was demonstrated by a dynamic test, a dynamic response analysis on axle was implemented for many groups of random roughness swatches. On basis of the analysis result, a statistic analysis was conducted for the dynamic impact effect of bridge under the conditions of different deck status and vehicle speeds, in the determination of vehicle speed and roughness, the impact factor obeys the normal distribution. The analysis result shows that, the level of deck status may apparently affect the mean value and the MSD(mean square deviation), the differences of vehicle impact factors in case of different assurance rates are large. It will effectively improve the reasonableness and scientificalness of the value of a vehicle impact factor to determine the impact factor according to the level of bridge importance and a statistic analysis method.

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Dynamic Response of a Heterotypic Concrete Filled Steel Tube Arch Bridge Subjected to Moving Vehicles

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.255-260.1696 ◽

2011 ◽

Vol 255-260 ◽

pp. 1696-1700

Author(s):

Yan Li ◽

Xin Yi Huang

Keyword(s):

Surface Roughness ◽

Dynamic Response ◽

Impact Factor ◽

Damping Ratio ◽

Steel Tube ◽

Impact Factors ◽

Arch Bridge ◽

Concrete Filled Steel Tube ◽

Moving Vehicles ◽

The Impact

As a new type structure, the dynamic behavior of the irregular concrete filled steel tube arch bridge under moving vehicles was rarely studied. In this paper, taking the bridge crossing Yitong river in Changchun of China as an example, the dynamic response of the bridge is investigated by the self-compiling vehicle-bridge coupled vibration analysis program. The surface roughness and vehicle speed are considered in the analysis. The results show that impact factors of the bridge increase as surface roughness deteriorated; the impact factor varies obviously for the different component; the tension impact factor of the short suspender is larger than that of long ones; damping ratio of structure has little effect on the impact factors. The research conclusions can be referred in the design and assessment for the similar bridges.

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Investigation of Dynamic Impact Factor of Metal Multipipe Culvert under Shallow Cover

Pipelines 2021 ◽

10.1061/9780784483619.022 ◽

2021 ◽

Author(s):

Issam Khoury ◽

Husam H. Hussein ◽

Shad M. Sargand ◽

Fouad T. Al Rikabi

Keyword(s):

Impact Factor ◽

Dynamic Impact ◽

Dynamic Impact Factor

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Study of local dynamic impact factor on prestressed concrete box-girder bridges

Bridge Maintenance, Safety, Management and Life Extension ◽

10.1201/b17063-382 ◽

2014 ◽

pp. 2535-2543

Author(s):

Y Yu ◽

Y Ma ◽

Y Shao ◽

L Deng

Keyword(s):

Impact Factor ◽

Prestressed Concrete ◽

Local Dynamic ◽

Dynamic Impact ◽

Box Girder Bridges ◽

Box Girder ◽

Girder Bridges ◽

Concrete Box Girder ◽

Concrete Box Girder Bridges ◽

Dynamic Impact Factor

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Dynamic Impact Factor Determination of an Existing Pre-stressed Concrete I-Girder Bridge Using Vehicle-Bridge Interaction Modelling

Journal of Civil Engineering and Construction ◽

10.32732/jcec.2021.10.3.163 ◽

2021 ◽

Vol 10 (3) ◽

pp. 163-176

Author(s):

Shuvrodeb Adhikary ◽

Shohel Rana ◽

Jerin Tasnim ◽

Nazrul Islam

Keyword(s):

Impact Factor ◽

Dynamic Model ◽

Superposition Method ◽

Dynamic Impact ◽

Mode Superposition Method ◽

Road Roughness ◽

Girder Bridge ◽

Dynamic Impact Factor ◽

Interaction Problem

The dynamic Impact Factor (IM) of a bridge is influenced by many factors, including Vehicle-Bridge Interaction (VBI), vehicle speed and road roughness. This paper represents the dynamic effects of moving vehicles and the determination of IM of an existing Pre-stressed concrete I-girder bridge utilizing VBI modeling. Evaluation of the IM is expected to provide valuable information for condition assessment and management of the existing bridge. The interaction problem between the vehicle and the bridge includes a dynamic model for the bridge structure subsystem, a dynamic model for the vehicle subsystem, interaction constraints, road roughness modelling and numerical solution techniques for the dynamic systems. The Half-car model is utilized for modelling of the vehicle dynamics and the bridge dynamic model is idealized according to Finite Element Method (FEM). Then FEM along with the mode superposition method are utilized for determining the Equation of Motion (EOM) for the bridge subsystem. D’Alembert’s principle is used for developing EOM for the vehicle subsystem. The interaction between vehicle vibration and bridge vibration is established through the contact forces between the wheels and the bridge by employing the compatibility relationship between the contact points and by applying the static equilibrium condition. Lastly, Newmark’s-β method is used for solving the coupled mathematical model of the vehicle and bridge interaction problem to determine the responses of the two sub-systems. The whole procedure is then performed for different vehicle speeds and various bridge deck surface roughness conditions to determine the dynamic impact on the existing I-girder bridge named Teesta Bridge located in Bangladesh.

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Artificial Neural Network-Based Method for Seismic Analysis of Concrete-Filled Steel Tube Arch Bridges

Computational Intelligence and Neuroscience ◽

10.1155/2021/5581637 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Zhen Liu ◽

Shibo Zhang

Keyword(s):

Neural Network ◽

Finite Element Method ◽

Artificial Neural Network ◽

Finite Element ◽

Seismic Analysis ◽

Steel Tube ◽

Arch Bridge ◽

Concrete Filled Steel Tube ◽

Cfst Arch Bridge ◽

Artificial Neural

Seismic analysis of concrete-filled steel tube (CFST) arch bridge based on finite element method is a time-consuming work. Especially when uncertainty of material and structural parameters are involved, the computational requirements may exceed the computational power of high performance computers. In this paper, a seismic analysis method of CFST arch bridge based on artificial neural network is presented. The ANN is trained by these seismic damage and corresponding sample parameters based on finite element analysis. In order to obtain more efficient training samples, a uniform design method is used to select sample parameters. By comparing the damage probabilities under different seismic intensities, it is found that the damage probabilities of the neural network method and the finite element method are basically the same. The method based on ANN can save a lot of computing time.

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