Surface drainage evaluation of asphalt pavement using a new analytical water film depth model

Luo, Wenting; Li, Lin; Wang, Kelvin C. P.; Wei, Changqin

doi:10.1080/14680629.2019.1590220

Cited by 17 publications

(10 citation statements)

References 17 publications

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“…Luo et al [71] constructed full-scale road surface models to directly observe water film features under different parameter combinations, including rainfall intensity, slope, and texture of the asphalt mixture types, while several regression models were built to predict water film thickness. Luo et al [72] developed an analytical water film depth model that included features of pavement texture, slope, permeability, and rainfall coefficient, while a new device named the Rainwater Level Measuring Instrument (RLMI) was adopted to acquire field rainfall data and water film depth data for model validation. Further, Luo and Li [73] adopted a 3D line scanning laser system based on the survey vehicle to obtain features of pavement rutting and texture with high precise and efficiency, which helped to improve the prediction of the proposed model for water file thickness.…”

Section: Mechanical Behaviors Evaluation On the Asphalt Mixturementioning

confidence: 99%

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Wang,

Wang

2024

Materials

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Asphalt pavement, which is mainly made up of the asphalt mixture, exhibits complicated mechanical behaviors under the combined effects of moving vehicle loads and external service environments. Multi-scale numerical simulation can well characterize behaviors of asphalt materials and asphalt pavement, and the essential research progress is systematically summarized from an entire view. This paper reviews extensive research works concerning aspects of the design, characterization, and prediction of performance for asphalt materials and asphalt pavement based on multi-scale numerical simulation. Firstly, full-scale performance modeling on asphalt pavement is discussed from aspects of structural dynamic response, structural and material evaluation, and wheel–pavement interaction. The correlation between asphalt material properties and pavement performance is also analyzed, and so is the hydroplaning phenomenon. Macro- and mesoscale simulations on the mechanical property characterization of the asphalt mixture and its components are then investigated, while virtual proportion design for the asphalt mixture is introduced. Features of two-dimensional and three-dimensional microscale modeling on the asphalt mixture are summarized, followed by molecular dynamics simulation on asphalt binders, aggregates, and their interface, while nanoscale behavior modeling on asphalt binders is presented. Finally, aspects that need more attention concerning this study’s topic are discussed, and several suggestions for future investigations are also presented.

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Section: Mechanical Behaviors Evaluation On the Asphalt Mixturementioning

confidence: 99%

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Wang,

Wang

2024

Materials

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“…Pavement surface characteristics and rainfall intensity are the major contributing factors to a pavement's WFD (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27). Mean texture depth (MTD) represents pavement macrotexture, defined as the texture with wavelengths of 0.02 to 2.0 in., and is the main attribute of a pavement surface.…”

Section: Research Significantmentioning

confidence: 99%

“…However, this relationship is not linear. Assuming the flow moving over the surface texture as sheet flow (9,13,18,20,21,53), many sheet flow models including the Manning equation (Equation 8) have correlated the flow velocity to the square root of slope (54,55). Note: WFD = water film depth; MTD = mean texture depth.…”

Section: Effects Of Contributing Factorsmentioning

confidence: 99%

“…Equations were developed to determine the WFD based on the experiment (13,14), or hydrodynamic analytical models (9,(15)(16)(17)(18)(19)(20)(21)(22). These equations commonly considered the effects of pavement texture, pavement geometry, rainfall intensity, permeability (20), and other weather conditions such as temperature, wind speed, and relative humidity (18) on the WFD. Other studies ignored the impact of pavement texture (23)(24)(25).…”

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confidence: 99%

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Water Film Depth Prediction Model for Highly Textured Pavement Surface Drainage

Pourhassan

Gheni

ElGawady

2021

Transportation Research Record

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Water film depth (WFD) is an important factor for road traffic safety because of its direct connection with skid resistance, hydroplaning speed, and the tendency of splash and spray. Increasing the pavement macrotexture reduces WFD. However, existing models for WFD prediction have not been developed on highly textured surfaces such as chip seal. Furthermore, the rainfall intensities used for developing most of these models were relatively low, leaving no or low WFD on chip seal surfaces. To propose a WFD prediction model suitable for highly textured surfaces and to consider the effect of surface material type, an experimental study was conducted with 154 different combinations of mean texture depth (MTD), surface material type, surface slope, drainage length, and rainfall intensity. The tests were carried out on chip seal specimens using a full-scale rainfall simulator. Test results from 1,784 WFD readings indicated that the Gallaway and PAVDRN models were not accurate for highly textured surfaces used in this study with MTD ranging from 0.05 to 0.20 in. Two experimental models were, therefore, proposed to predict the WFD; both models displayed a significantly higher correlation between the measured and predicted WFD compared with the existing models. Furthermore, the eco-friendly rubberized chip seal showed an enhanced drainage capability compared with conventional chip seal, especially in low slopes, because of the hydrophobic nature of crumb rubber versus the hydrophilic character of mineral aggregates. Accordingly, the proposed model incorporated a term to consider the effect of surface material type.

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“…Owing to the existence of the cross-slope of the road arch, the rainfall flows from the center to the inner edge the pavement [39]. Taking half of the road surface as the reference object, the width of the road surface is L, which is evenly divided into k segments.…”

Section: Determination Of Maintenance Opportunitymentioning

confidence: 99%

Maintenance Time of Permeable Asphalt Pavement Based on Entropy–Analytic Hierarchy Process Analysis

Sun

Lin³

2021

Coatings

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Dust, sediment, and stone chips often block the rainwater-infiltration paths of permeable pavements, which, in conjunction with vehicle load, reduces drainage capacity. To restore this capacity, a reasonable maintenance time and suitable maintenance measures must be determined. Therefore, we investigated the void attenuation and decline in drainage capacity of permeable asphalt pavements under the combined action of dust blockage and vehicle load. First, the water seepage coefficient decay and the decay rate under blocking and compaction were determined via clogging and compaction experiments. Second, experimental data were incorporated into an entropy–analytic hierarchy process analysis model, with the gross domestic product ratio, wind scale, and maximum five-year rainfall for the area. Finally, three test roads were studied as the weight to rank the maintenance urgency and predict the maintenance timing for each road under different rainfall conditions. The results demonstrate that the drainage capacity of permeable pavements obeys the parabolic exponential attenuation law. From the findings regarding road water storage capacity, the latest pavement maintenance time at different rainfall levels were obtained. This predicted maintenance time enables better decisions than regular time on code, which is the effect of drainage caused by multiple factors.

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Surface drainage evaluation of asphalt pavement using a new analytical water film depth model

Cited by 17 publications

References 17 publications

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Water Film Depth Prediction Model for Highly Textured Pavement Surface Drainage

Maintenance Time of Permeable Asphalt Pavement Based on Entropy–Analytic Hierarchy Process Analysis

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