Flexible Pavement Response Analysis under Dynamic Loading at Different Vehicle Speeds and Pavement Surface Roughness Conditions

Wang, Hao; Zhao, Jingnan; Hu, Xiaodi; Zhang, Xianmin

doi:10.1061/jpeodx.0000198

Cited by 28 publications

(12 citation statements)

References 19 publications

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“…It is noted that the backcalculation error due to neglecting dynamic load effect increases as the pavement becomes rougher. The deteriorated pavement can have international roughness index of 2.5–3.0 m/km, which can cause the DLC of 0.1–0.15 (Bilodeau et al., 2017; Wang, Zhao, Hu, & Zhang, 2020). This need be cautioned in practice since TSD testing is usually conducted at the pavement sections with surface deteriorations before maintenance and rehabilitation.…”

Section: Parametric Analysis Of Influencing Factorsmentioning

confidence: 99%

Asphalt pavement modulus backcalculation using surface deflections under moving loads

Wang

Zhao

et al. 2020

Computer aided Civil Eng

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The measurement of pavement surface deflections under moving loads can be used for evaluation of pavement structural condition. The objective of this paper is to develop an innovative backcalculation method to calculate pavement layer moduli based on traffic speed deflectometer (TSD) measurements and analyze factors influencing backcalculation results. The backcalculation method is based on 2.5D finite element method (FEM) and constrained extended Kalman filter (CEKF). Field measurements at different pavement sections were used to verify the accuracy of backcalculation results. Parametric analysis was conducted to evaluate the influences of traffic loading and pavement structure variations in the field. It was found that the backcalculation results were considerably affected by the variation of asphalt layer thickness and dynamic loading due to pavement surface roughness. A heavy truck passing the adjacent lane during TSD testing could also cause variation of backcalculation results.

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Section: Parametric Analysis Of Influencing Factorsmentioning

confidence: 99%

Asphalt pavement modulus backcalculation using surface deflections under moving loads

Wang

Zhao

et al. 2020

Computer aided Civil Eng

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“…Lu et al [20] explored the influence of the loading time and temperature of the pavement on strain at the bottom of an asphalt pavement through a dynamic response model of the pavement under half-sine load. Wang [21] analyzed the effect of dynamic loading on flexible responses of the pavement at different vehicle speeds and pavement roughnesses by using an integrated approach to vehicle-tire-pavement interaction. The results indicated that a rougher pavement surface can yield higher responses of the pavement and accelerate its failure at locations where large dynamic loads are induced.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional strain analysis of asphalt pavement based on vehicle–pavement model of interaction

2021

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This study analyzes the 3D (3D) strain on a pavement by using a model of a vehicle with seven degrees of freedom and that of a road in elastic half-space by using the finite element software ANSYS. The results are as follows: The 3D strain on the two wheels along the centerline was significantly influenced by the superposition of the wheel, and the 3D strain under a single wheel was far higher than that along the centerline of two wheels, and represented the most unfavorable position on the road. The vertical strain consisted mainly of compressive strain at different depths, and that at the bottom of the pavement was slightly higher than that on top. The longitudinal and transverse strains were all compressive strains on top of the pavement and tensile strains at the bottom, respectively. The longitudinal and transverse strains both on top and at the bottom of the pavement were similar. The authors then analyzed the influence of the thickness of the pavement, its modulus, and equivalent resilient modulus on the vertical compressive strain, longitudinal tensile strain, and transverse tensile strain in case of a single wheel. Furthermore, a model to predict the 3D strain under the comprehensive effect of the structural parameters of the road was established. It can provide the basis and a reference for the design, construction, fault detection, and maintenance of roads.

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“…Vehicle-pavement structure is a complex motion system that integrates multiple motion characteristics. e dynamic response characteristics of the road under vehicle load have a great relationship with vehicle load configuration, road roughness, and driving speed [3,4]. Ling et al [5] proposed a semianalytical finite element method based on transverse fast Fourier transform (FFT) to analyse the dynamic response and stress path of pavement under the action of moving aircraft load.…”

Section: Introductionmentioning

confidence: 99%

Response Characteristics Analysis and Fatigue Life Assessment of Asphalt Pavement around the Manhole

Zhang¹,

Zhao

Chen

2020

Shock and Vibration

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In view of the damage of the pavement around manholes, this paper proposes an effective way to analyse the stress characteristics of the road under vehicle load and evaluate the fatigue life of the pavement around manholes. A half vehicle-road-manhole cover coupling dynamic model is established to calculate the dynamic load coefficient. According to the finite element analysis (FEA) model in ABQUS, the dynamic response characteristics of the pavement around the manhole are analysed, and the stresses under different braking force and different vehicle type are compared. In addition, the fatigue life of the pavement surface layer under different loading conditions is calculated, and three different fatigue life models are selected to analyse the influence of different factors on the fatigue life of the pavement base structure around the manhole. The results show that the fatigue life of the pavement base layer decreases with the increase of manhole subsidence value, and the fatigue life increases with the increase in thickness of the surface layer, and the change of elastic modulus of the subgrade has no obvious influence on the fatigue life of road base. Finally, a fatigue life evaluation index based on high root energy is proposed to compare the three models more intuitively. Consequently, the analysis results can provide a basis for manhole surrounding pavement design and maintenance, and the analysis method is worthy of further application in the research of pavement fatigue life under more influencing factors.

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Flexible Pavement Response Analysis under Dynamic Loading at Different Vehicle Speeds and Pavement Surface Roughness Conditions

Cited by 28 publications

References 19 publications

Asphalt pavement modulus backcalculation using surface deflections under moving loads

Asphalt pavement modulus backcalculation using surface deflections under moving loads

Three-dimensional strain analysis of asphalt pavement based on vehicle–pavement model of interaction

Response Characteristics Analysis and Fatigue Life Assessment of Asphalt Pavement around the Manhole

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