Estimation of runoff depths on paved areas

Escarameia, M.; Gasowski, Y.; May, R.W.P.; Bergamini, L.

doi:10.1080/15730620601060247

Cited by 7 publications

(3 citation statements)

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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%

“…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.…”

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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: Journal of the Transportation R

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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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Section: Research Significantmentioning

confidence: 99%

mentioning

confidence: 99%

Water Film Depth Prediction Model for Highly Textured Pavement Surface Drainage

Pourhassan

Gheni

ElGawady

2021

Transportation Research Record: Journal of the Transportation R

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“…The depth distribution can be simulated by taking the precipitation and pavement resultant gradient into account. However, the traditional simplification of the runoff depth distribution as a one-dimensional section along the resultant gradient is not sufficient Escarameia et al, 2006;Maxwell et al, 2015;Jeong & Charbeneau, 2010). The numerical modeling proved to be a more efficient tool for pavement runoff simulation as compared to the methods of empirical regression and hydraulic modeling (Ma et al, 2017;Charbeneau et al, 2008;Wang & Geng, 2013).…”

Section: Introductionmentioning

confidence: 99%

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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