To investigate the water film depth (WFD) of super-multi-lane (SML) pavement and its effect on tire-pavement surface interaction, a rainfall-runoff model of SML pavement was developed, and the influence of the number of lanes and pavement slopes was analyzed. Based on the realistic texture of pavement surface, a tire-pavement surface-water film coupling model was established. The contact characteristics between the tire and the pavement surface, as well as the critical hydroplaning speeds under different WFDs, were analyzed. The results show that the WFD of the pavement increases significantly with the increase in lane number. Pavement expanding from three to five lanes in a single direction has the largest increase of the WFD, while the increment decreases as the number of lanes further increases. Increasing the transverse slope from 1.5% to 2.0% results in the most obvious decrease in the WFD. Moreover, increasing the longitudinal pavement slope to 1.0%-2.0% significantly reduces the area of thick water film on the pavement surface. The higher WFD results in a more rapid decrease in the tire-pavement surface contact force as the vehicle speed rises, leading to a lower critical hydroplaning speed. The critical hydroplaning speed of the vehicle decreases by approximately 6 km/h for every 2 mm increase in the WFD.
| [1] |
WEI X Y, XU C C, WANG W, et al. Capacity analysis and model development of the multilane freeway[J]. Journal of Transportation Systems Engineering & Information Technology, 2017, 17(2): 105-111. (in Chinese)
|
| [2] |
DAN H C, GAO L S, WANG H, et al. Discrete-element modeling of mean texture depth and wearing behavior of asphalt mixture[J]. Journal of Materials in Civil Engineering, 2022, 34(4): 04022027.
|
| [3] |
SPITZHÜTTL F, GOIZET F, UNGER T, et al. The real impact of full hydroplaning on driving safety[J]. Accident Analysis & Prevention, 2020, 138: 105458.
|
| [4] |
LI Q, WANG J Q, LU Y, et al. Effect of dynamic water pressure on the adhesion behavior of recycled asphalt-aggregate interface by molecular dynamics method[J]. Construction and Building Materials, 2023, 382: 131296.
|
| [5] |
XIAO K, HUI B, QU X, et al. Asphalt pavement water film thickness detection and prediction model: A review[J]. Journal of Traffic and Transportation Engineering (English Edition), 2023, 10(3): 349-367.
|
| [6] |
ZHAO K, ZHOU Q, ZHAO E Q, et al. A new water film depth prediction model for pavement surface drainage[J]. Infrastructures, 2024, 9(3): 36.
|
| [7] |
PENG J, CHU L, FWA T F. Determination of safe vehicle speeds on wet horizontal pavement curves[J]. Road Materials and Pavement Design, 2021, 22(11): 2641-2653.
|
| [8] |
CHEN X B, WANG J T, LIU H, et al. Influence of rainfall on skid resistance performance and driving safety conditions of asphalt pavements[J]. Journal of Southeast University (English Edition), 2019, 35(4): 482-490.
|
| [9] |
HE J, CHEN H Z, FANG Z M, et al. Analysis on research status and development trends of vehicle stability control on low-adhesion road surfaces[J]. Journal of Southeast University (Natural Science Edition), 2025 [2025-07-10]. http://kns.cnki.net/kcms/detail/32.1178.N.20250609.1426.004.html. (in Chinese)
|
| [10] |
GALLAWAY B M, SCHILLER R E, ROSE J G. The effects of rainfall intensity, pavement cross slope, surface texture, and drainage length on pavement water depths[R]. College Station, TX, USA: Texas A&M University, 1971.
|
| [11] |
JI T J, HUANG X M, LIU Q Q, et al. Prediction model of rain water depth on road surface[J]. Journal of Traffic and Transportation Engineering, 2004, 4(3): 1-3. (in Chinese)
|
| [12] |
LUO J, LIU J B, WANG Y Q. Validation test on pavement water film depth prediction model[J]. China Journal of Highway and Transport, 2015, 28(12): 57-63. (in Chinese)
|
| [13] |
LING J M, YANG F, ZHANG J K, et al. Water-film depth assessment for pavements of roads and airport runways: A review[J]. Construction and Building Materials, 2023, 392: 123054.
|
| [14] |
LUO W T, WANG K C P, LI L. Field test validation of water film depth (WFD) prediction models for pavement surface drainage[J]. International Journal of Pavement Engineering, 2019, 20(10): 1170-1181.
|
| [15] |
MA Y L, GENG Y F, CHEN X H, et al. Prediction for asphalt pavement water film thickness based on artificial neural network[J]. Journal of Southeast University (English Edition), 2017, 33: 490-495.
|
| [16] |
ZHAO L R, ZHAO H D, CAI J W. Tire-pavement friction modeling considering pavement texture and water film[J]. International Journal of Transportation Science and Technology, 2024, 14: 99-109.
|
| [17] |
CHEN X, WANG H. Analysis and mitigation of hydroplaning risk considering spatial-temporal water condition on the pavement surface[J]. International Journal of Pavement Engineering, 2023, 24(2): 2036988.
|
| [18] |
DONG P J, CAO X J, TANG B M. Research on the dynamic response characteristics of asphalt pavement under hydro-thermo-mechanical coupling[J]. Journal of Southeast University (Natural Science Edition), 2025, 55(4): 1001-0505. (in Chinese)
|
| [19] |
ZHAN Y, TANG B, ZOU Y W, et al. Analysis of pavement adhesion coefficient under rainy conditions based on tire-road coupled hydroplaning mechanism[J]. Journal of Southeast University (Natural Science Edition), 2026, 56(2): 251-258. (in Chinese)
|
| [20] |
GONG Z L, MIAO Y H, LANTIERI C. Review of research on tire-pavement contact behavior[J]. Coatings, 2024, 14(2): 157.
|
| [21] |
GONG Z L, MIAO Y H, LI W, et al. Analysis of tyre-pavement contact behaviour of heavy truck in full-scale test[J]. International Journal of Pavement Engineering, 2023, 24(1): 2235630.
|
| [22] |
HUANG X M, SUN Y T, XU H C, et al. Analysis on texture characteristics of positive texture skid-resistance friction course based on discrete element[J]. Journal of Southeast University (Natural Science Edition), 2024, 54(6): 1520-1529. (in Chinese)
|
| [23] |
KANE M, DO M T, CEREZO V, et al. Contribution to pavement friction modelling: An introduction of the wetting effect[J]. International Journal of Pavement Engineering, 2019, 20(8): 965-976.
|
| [24] |
TANG T C, ANUPAM K, KASBERGEN C, et al. A finite element study of rain intensity on skid resistance for permeable asphalt concrete mixes[J]. Construction and Building Materials, 2019, 220: 464-475.
|
Funding
National Natural Science Foundation of China(52178421)