Analysis of Water Accumulation Characteristics on S-Curve of Highway Based on Numerical Simulation

doi:10.12141/j.issn.1000-565X.230505

Abstract

Abstract:

The S-curve pavement formation is susceptible to waterlogging due to its distinctive linear geometric characteristics. Therefore, the mastery of the waterlogging pattern is beneficial for the prevention and management of the hazards associated with waterlogged road sections, particularly in the design and construction phases. Using computational fluid dynamics software Fluent and the Eulerian Wall Film (EWF) which is based on the Eulerian-Lagrange method in computational fluid dynamics analysis, this paper carried out simulation calculations on the the typical S-curve bidirectional multilane road model with refinement treatment. The simulation included different variables, such as geometric features and rainfall, and obtained the film thickness and flow velocity distribution of the ponded water. The simulation results indicate that during the rainfall stage, 0% to 1% of the cross slope of the S-curve represents a waterlogged road section, 1% to 2% of the cross slope represents a waterlogged road section, and the waterlogging situation of the road section with a cross slope exceeding 2% is influenced by the intensity of rainfall. During the drainage stage, a cross-slope of 0%~1% on the S-curve represents a challenging road section, while a cross-slope of 1%~2% indicates a poorly drained road section. A cross-slope of more than 2% indicates a road section that is smoothly drained. The drainage of the road section at the end of the drainage time can remove the water film to less than 2 cm under different geometric conditions and rainfall conditions. The dimensions and gradient of the cross slope influence the lateral distribution of water as well as the longitudinal distribution. As the drainage stage progresses, the water film thickness distribution law changes to a longitudinal high in the middle and low on both sides with the overall distribution of S pattern, while the water film flow rate distribution law becomes longitudinal low in the middle and high on both sides. The width of the roadway exerts a significant influence on the total amount of water that falls onto the roadway from rainfall. This, in turn, affects the water film thickness. The ultra-high retardation rate primarily increases the number of road sections that are waterlogged or prone to water damage, thereby influencing the range of water distribution.

Key words: computational fluid dynamics, S-curve, road surface water, water accumulation characteristics

CLC Number:

TU416

WU Wenliang, ZENG Weikai, LI Zhi, WANG Xiaofei. Analysis of Water Accumulation Characteristics on S-Curve of Highway Based on Numerical Simulation[J]. Journal of South China University of Technology(Natural Science Edition), 2024, 52(8): 56-64.

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超高值/%	120 km/h			100 km/h
超高值/%	10%	8%	6%	10%	8%	6%
2	5 500（7 550）～2 950	5 500（7 550）～2 951	5 500（7 550）～2 952	5 500（7 550）～2 954	5 500（7 550）～2 955	5 500（7 550）～2 956
3	2 950~2 080	2 860~1 990	2 730~1 840	2 180~1 520	2 150~1 480	2 000~1 320
4	2 080~1 590	1 990~1 500	1 840~1 340	1 520~1 160	1 480~1 100	1 320~920
5	1 590~1 280	1 500~1 190	1 340~970	1 160~920	1 100~860	920~630
6	1 280~1 070	1 190~980	970~710	920~760	860~690	630~440
7	1 070~910	980~790		760~640	690~530
8	910~790	790~650		640~540	530~400

雨强等级	降水量/mm
雨强等级	每小时	每6小时	每24小时
零星小雨	<0.1	<0.1	<0.1
小雨	0.1~1.5	0.1~3.9	0.1~9.9
中雨	1.6~6.9	4.0~12.9	10.0~24.9
大雨	7.0~14.9	13.0~24.9	25.0~49.9
暴雨	15.0~39.9	25.0~59.9	50.0~99.9
大暴雨	40.0~49.9	60.0~119.9	100.0~249.9
特大暴雨	≥50.0	≥120.0	≥250.0

V/m	R
V/m	mm/min	mm/h
≤1 000	≥0.33	≥19.8
≤500	≥0.62	≥37.0
≤200	≥1.42	≥85.0
≤100	≥2.67	≥160.0
≤50	≥5.00	≥300.0

超高坡度组合	超高缓和率	6车道				8车道
超高坡度组合	超高缓和率	0.5 mm/min	1 mm/min	2 mm/min	4 mm/min	0.5 mm/min	1 mm/min	2 mm/min	4 mm/min
3%+4%	1/200	1	2	3	4	5	6	7	8
	1/250	9	10	11	12	13	14	15	16
	1/300	17	18	19	20	21	22	23	24
4%+5%	1/200	25	26	27	28	29	30	31	32
	1/250	33	34	35	36	37	38	39	40
	1/300	41	42	43	44	45	46	47	48

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