Experiment and Numerical Simulation of the Dynamic Response of Bridges under Vibratory Compaction of Bridge Deck Asphalt Pavement

Peng, An-Ping; Dan, Han-Cheng; Yang, Dong

doi:10.1155/2019/2962154

Cited by 11 publications

(3 citation statements)

References 20 publications

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“…Different vehicle speed will cause different effects on the road surface and contribute to the occurrence and evolution of distress such as rutting, cracking, and water damage to some extent (Peng et al, 2019;Dan et al, 2020). In order to investigate the change law of speed distribution, the traffic flow of eight sections of the expressway from July 2014 to June 2017 is counted, and the statistical results are shown in Figure 15.…”

Section: Distribution Characteristics Of Traffic At Different Vehicle...mentioning

confidence: 99%

A data fusion approach for estimating traffic distribution characteristics of expressway: A case study of guangdong province, china

et al. 2022

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Currently, people pay more and more attention to road maintenance, and the traffic characteristics of vehicles play an important role in road quality evolution and maintenance decision, which commonly depends on the collection and analysis of traffic data. Nevertheless, the rationality of traffic data analysis and the scientificity of maintenance decision are deficient. This study carries out a research on the data fusion of multisource traffic data including toll data and video surveillance data. First, the information of vehicle type and axle load is acquired from the toll data, and the lane, speed and temporal information are obtained from the video surveillance data. A Bayesian method is used to train toll data and video surveillance data to recover missing data. The vehicle type distribution probabilities of traffic volume during different periods and speeds in different lanes are investigated. Next, the number of equivalent standard axle load (ESAL) at different lanes, time periods, and speeds are estimated based on the axle load conversion relationship between different vehicle types. Then the axle load spectrum and distribution characteristics of traffic in different sections, lanes, speeds, and time periods are analyzed. Finally, the comparison of rutting depth from the multisource data fusion and specification is carried out, and it shows an apparent difference (e.g., beyond 20%) when the lateral distribution in lanes is taken into account. Although the difference is less than 10% by considering vehicle speed and time periods, the time to reach the same value of rutting depth maybe more than 1 year. Therefore, it greatly affects accurate determination of preventive maintenance timing. As a whole, this study provides beneficial information for accurately understanding the preventive maintenance opportunities and making reasonable maintenance decisions.

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Section: Distribution Characteristics Of Traffic At Different Vehicle...mentioning

confidence: 99%

A data fusion approach for estimating traffic distribution characteristics of expressway: A case study of guangdong province, china

et al. 2022

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“…The maximum temperature of asphalt pavements in practice is close to 70 °C (Du et al, 2018;Peng et al, 2019), and exploring higher temperatures loses its practical significance. The viscoelastic temperature range of asphalt is T g K to T g + 100 100 K. Excessively high temperatures may lead to asphalt aging and reduction of healing properties of asphalt.…”

Section: Self-healing Modelingmentioning

confidence: 99%

Analysis of the Self-Healing Process of Asphalt and its Influencing Factors

Luo

Jiao³

et al. 2022

BJRBE

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Molecular dynamics was used in this study to understand the self-healing behavior and mechanism of asphalt. Density, solubility, and mean square displacement parameters were analyzed to confirm the validity of the matrix asphalt model. Molecular simulation software was used to develop a microscopic matrix asphalt self-healing model at the nanoscale. Cracking width of asphalt microcracks was represented by setting different vacuum layer thicknesses as the asphalt self-healing model. Density and diffusion coefficient of the self-healing model were obtained by running the molecular software to understand the entire process of asphalt healing. The self-healing mechanism of the matrix asphalt was analyzed. Results showed that the entire self-healing process of asphalt could be clearly divided into four stages, namely, external environment energy endowment, model end healing, asphalt microcrack healing, and self-healing model self-diffusion stages. Molecules of each component in the asphalt self-healing process diffuse and move mutually under constant temperature conditions. The diffusion coefficient of saturated components and polar aromatic was higher than that of asphaltenes and aromatic components.

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“…Wang et al [14] have introduced the harmonic superposition approach to provide a more realistic and effective approach to determine the pavement surface's behaviour on a concrete bridge deck, it concluded that the random surface roughness of the deck pavement had a considerable impact on the stress characteristics of the asphalt concrete layer. Peng et al [15] investigated the dynamic response of several kinds of concrete-beam bridges (continuous beam and simply supported beam) with varied cross-sectional designs (T-beam and hollow-slab beam) to assure structural safety and dependability, as well as the different vibration parameters for various bridge deck pavement configurations. Han et al [16] also has examined the combined influence of bridge surface roughness and vehicle velocity on the dynamic response of concrete bridge deck pavement (BDP) under random vehicle loads.…”

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confidence: 99%

Stress Analysis of Hollow Slab Bridge Deck Pavement

Lamichhane

Zhang

Zheng

et al. 2022

Civil and Environmental Engineering

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The asphalt-concrete pavement is an essential component of the bridge deck. Its stress characteristics are different from the general pavement structure. This research employs finite element technology (ANSYS) to model a three-span bridge and pavement layer in order to ascertain the stress distribution and provide a deeper knowledge of the mechanical properties of the pavement layer on concrete bridge decks. The effects of varying the thickness and stiffness of the deck pavement on the stress distribution in its different layers were investigated. Stress absorption is increased as the stiffness of the deck layers increases, and with increases in pavement thickness, stress on pavement layers decreases. The response of deck pavement under moving load, both under full bonding and sliding conditions, was simulated to determine stress distribution. By comparing the response under the full bonding and sliding conditions, it was found that stress induced on layers during sliding is high as compared to the full bonding condition; pavement layers will be prone to failure if sliding occurs between layers.

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Experiment and Numerical Simulation of the Dynamic Response of Bridges under Vibratory Compaction of Bridge Deck Asphalt Pavement

Cited by 11 publications

References 20 publications

A data fusion approach for estimating traffic distribution characteristics of expressway: A case study of guangdong province, china

A data fusion approach for estimating traffic distribution characteristics of expressway: A case study of guangdong province, china

Analysis of the Self-Healing Process of Asphalt and its Influencing Factors

Stress Analysis of Hollow Slab Bridge Deck Pavement

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