Innovative Approach for Pavement Runoff Characterization

Chen, Xianhua; Geng, Yanfen; Qing-Lin, Jiang; Huang, Xiaoming; Ma, Yingche

doi:10.1061/(asce)cf.1943-5509.0001045

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…The maximum water depth on the location of fast lane was 6.6 mm (Figure 2). The temporal and spatial variation is shown in Figure 3 (Chen et al, 2017). Although the empirical method is widely used, it usually yields valid results only on the basis of analysis of a large amount of data.…”

Section: L Smentioning

confidence: 99%

“…(Dawson et al, 2009). A two-dimensional flow field can better describe the runoff variation considering the influence of the pavement slope, specifically, it may help avoid the numerical instability caused by small water depth and discontinuity (Wolff, 2013;Chen et al, 2017;Costabile et al, 2017). Furthermore, the backwater phenomenon caused by irregular bottom and curbs can also be depicted (Wang & Geng, 2013;Cea et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Pavement Runoff and Driving Safety on Highway Curve Segment

Geng

Zhou

Gong

et al. 2021

BJRBE

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Runoff depth distribution on the concave and circular curve sections is obtained from a two-dimensional numerical simulating model in order to analyze the temporal and spatial variation of the pavement runoff on the curve section. The two-dimensional model verified by the field data can depict the alignment of pavement more accurately as compared to the empirical equation and a one-dimensional model. The runoff on the concave section and circular curve section is compared for the free water drainage and centerline drainage. Results show that a two-dimensional model is essential for the analysis of the centerline drainage. The runoff depth can be controlled by a reasonable curb height and location interval. The drainage type affects the variation of the runoff depth on the nearside lane, and the maximum water depth can be up to more than 80 mm on the concave section and nearly 60 mm on the circular curve section under centerline drainage. Besides the existing hydroplaning results, the runoff depth difference of the wheel trace should be considered to evaluate driving safety. Sideslip will occur when the depth difference becomes more than 6 mm under condition that the runoff depth is less than the tread depth (7 mm). When the runoff depth is more than the tread depth, sideslip will occur once the depth difference exceeds 4 mm.

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Section: L Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Pavement Runoff and Driving Safety on Highway Curve Segment

Geng

Zhou

Gong

et al. 2021

BJRBE

Self Cite

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“…Three approaches (fully dynamic, diffusive and kinematic waves) were applied to simulate overland flow under different rainfall intensities and slopes, numerical results highlighted that significant differences were observed in more complicated topography for which only the fully dynamic model was able to present a good prediction of the observed discharges and water depths (Costabile et al 2012). The full dynamic wave model was compared with the diffusion wave model in the overland flood simulation under a single plane, a cascade of three planes and complicated and irregular topography, the results indicated that the full dynamic wave model has better performances in the accuracy and robustness, especially when simulating complex overland flow or when the water depth was small (Chen et al 2017a(Chen et al , 2017b. Therefore, dynamic models were gradually developed to study the characteristics of pavement rainfall-runoff (Chen et al 2017a(Chen et al , 2017bGeng et al 2019;Ma et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…The full dynamic wave model was compared with the diffusion wave model in the overland flood simulation under a single plane, a cascade of three planes and complicated and irregular topography, the results indicated that the full dynamic wave model has better performances in the accuracy and robustness, especially when simulating complex overland flow or when the water depth was small (Chen et al 2017a(Chen et al , 2017b. Therefore, dynamic models were gradually developed to study the characteristics of pavement rainfall-runoff (Chen et al 2017a(Chen et al , 2017bGeng et al 2019;Ma et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Study on hydrodynamic characteristics and influence factors of asphalt pavement runoff

Xiao

Hui

et al. 2021

Water Science and Technology

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A hydrodynamic model is developed for rainfall runoff on asphalt pavement using two-dimensional shallow water equations. A simple yet precise expression is presented to compute flow velocity in order to alleviate the problems associated with numerical instabilities due to small water depths of thin sheet flow. The developed model performed well against measured data and numerical results in two segments. Then, the model is applied to study the influence of highway horizontal alignment, drainage manner, rainfall pattern, surface roughness and geometric parameters on pavement runoff. The results demonstrate that: (i) the influence of highway horizontal alignment on pavement runoff is nonsignificant, while that of drainage manner and the pavement surface roughness is significant. Great differences are observed in flow depth under concentrated drainage and overflow drainage conditions, especially in the area beyond 6 m away from the highway center axis; (ii) remarkable differences in maximum flow depth and peak runoff are presented under uneven and even rainfall conditions, while no great differences are found under three uneven rainfall conditions (front type, center front type and back front type); (iii) the sensitivity of the geometric parameters to the maximum flow depth from strong to weak is cross slope, width, slope length, and longitudinal slope under overflow drainage condition; while that is width, slope length, longitudinal slope and cross slope under concentrated drainage condition.

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“…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.…”

mentioning

confidence: 99%

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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Innovative Approach for Pavement Runoff Characterization

Cited by 9 publications

References 6 publications

Evaluation of Pavement Runoff and Driving Safety on Highway Curve Segment

Evaluation of Pavement Runoff and Driving Safety on Highway Curve Segment

Study on hydrodynamic characteristics and influence factors of asphalt pavement runoff

Water Film Depth Prediction Model for Highly Textured Pavement Surface Drainage

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