Stress Analysis of Asphalt Concrete Deck Pavement on Steel Bridge based on Burgers Model and interlayer contact

Wang, Xuntao; Feng, Junli; Wang, Hu

doi:10.2991/iceep-17.2017.12

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…For simulating the real interlayer bonding condition, the bonding condition between adjacent layers was assumed to be contact bonding condition [26]. e concept of interlayer contact model can be illustrated in Figure 2.…”

Section: Interlayer Contact Modelmentioning

confidence: 99%

Effect of the Dynamic Load on Stresses in a Deck Pavement with an Interlayer Contact Model

Wang

Feng

Wang

et al. 2018

Advances in Civil Engineering

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Random surface roughness of bridge deck pavement just like random road surface roughness was simulated by the harmony superposition method in this paper. e dynamic load of vehicle was calculated by the random surface roughness of the deck pavement and the quarter-car model. A finite element model of a box girder bridge and its deck pavement was established, and the bonding condition between the adjacent layers was assumed to be contact bonding condition. e stress values of the asphalt concrete layer were calculated and analyzed when surface roughness condition, vehicle speed, and disengaging area changed. Results show that random surface roughness of deck pavement affected the stress trend of the asphalt concrete layer obviously. e appearance of disengaging area would increase the stress values of the asphalt concrete layer and the normal tensile stress value between the asphalt concrete layer and the waterproof layer. is would speed up the damage of the asphalt concrete layer and enlarge further the disengaging area.

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Section: Interlayer Contact Modelmentioning

confidence: 99%

Effect of the Dynamic Load on Stresses in a Deck Pavement with an Interlayer Contact Model

Wang

Feng

Wang

et al. 2018

Advances in Civil Engineering

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“…The results showed that the suggested thickness of the upper layer pavement is 3.5 cm-4.5 cm and this range for the lower layer is 5 cm-7 cm. Xuntao Wang et al 15 established a three-dimensional finite element steel bridge and its deck pavement by ANSYS software. The viscoelasticity of asphalt concrete is described by Burgers model and the parameters were converted into Prony series in the ANSYS software.…”

Section: Introductionmentioning

confidence: 99%

A vehicle-bridge interaction vibration model considering bridge deck pavement

Ren

Chen

Sun

2022

Journal of Low Frequency Noise, Vibration and Active Control

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The bridge pavement subjected to vehicle loads is the most vulnerable component in the highway bridge and overloaded vehicles can result in serious damage to the bridge pavement more easily. Therefore, it is necessary to consider the pavement in vehicle-bridge interaction (VBI) system. However, the bridge pavement is not considered in the traditional VBI system or the viscoelasticity of bridge pavement is ignored. In this study, a new vehicle-pavement-bridge interaction (VPBI) system is established. The viscoelastic asphalt pavement is simulated with the continuously and uniformly distributed spring-damper. The equivalent stiffness coefficient and equivalent damping coefficient of the pavement are determined through dynamic mechanical analysis (DMA) test and finite element method. The equations of motion for VPBI system can be derived using Lagrange equation and the modal superposition method. Then the crucial parameters such as displacement at mid-span of bridge, acceleration of vehicle body, tire contact force, and pavement deformation are obtained. The effects of vehicle velocity, bridge span, tire contact area, pavement stiffness coefficient, and pavement damping coefficient on VPBI responses are analyzed. The results show that (1) The pavement is compressive during vehicle passing bridge and its dynamic deformation fluctuates around initially static deformation of pavement. (2) Increasing the stiffness of pavement can rapidly reduce the deformation of pavement, while the pavement damping has the opposite effect. (3) The increase of bridge span can conduct exponentially growth of dynamic responses of VPBI system. The pavement deformation will increase by 7.9% if the bridge span is lengthened by 5 m. This study provides a reliability response analysis method for VPBI system.

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