|Table of Contents|

[1] Geng Yanfen, Ke Xing, Zheng Xin,. Spatiotemporal distribution characteristics of bridge deck runoff [J]. Journal of Southeast University (English Edition), 2018, 34 (4): 517-523. [doi:10.3969/j.issn.1003-7985.2018.04.015]
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Spatiotemporal distribution characteristics of bridge deck runoff()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
34
Issue:
2018 4
Page:
517-523
Research Field:
Traffic and Transportation Engineering
Publishing date:
2018-12-20

Info

Title:
Spatiotemporal distribution characteristics of bridge deck runoff
Author(s):
Geng Yanfen Ke Xing Zheng Xin
School of Transportation, Southeast University, Nanjing 210096, China
Keywords:
two-dimensional shallow water equations bridge deck runoff spatiotemporal characteristics ponding depth water film thickness
PACS:
U416.2
DOI:
10.3969/j.issn.1003-7985.2018.04.015
Abstract:
The spatiotemporal characteristics of bridge deck runoff under a natural rainfall event are explored. The Taizhou Bridge is taken as a study case, and a hydrodynamic model based on the two-dimensional shallow water equations is used to analyze the runoff characteristics. The results indicate that the runoff velocity rate and depth are positively related to rainfall intensity, yet they have different response degrees to it. The inlet’s effect degree on lane water film has a positive relationship with rainfall intensity. A natural logarithm function(R2=0.706)can illustrate this relationship. However, the inlet’s effect degree on ponding at the curb shows a negative relationship with the rainfall intensity. A negative exponential function(R2=0.824)can reveal this relationship. With the decrease in the longitudinal slope SL, the ponding depth at the curb increases significantly at the bridge approach slab, whereas the lane water film thickness(WFT)is almost unchanged, but the lane WFT increases greatly at the location with the minimum longitudinal slope. It is concluded that the characteristics of the bridge deck runoff present apparent spatiotemporal differences, the inlet’s effects on bridge deck runoff are quantitatively correlated with rainfall intensity, and the effective drainage measures are necessary for the bridge approach slab.

References:

[1] Luo J, Liu J B, Wang Y Q, et al. Validation test on pavement water film depth prediction model[J]. China Journal of Highway & Transport, 2015, 28(12):57-63. http://zgglxb.chd.edu.cn/CN/Y2015/V28/I12/57.(in Chinese)
[2] Ma Y, Geng Y, Chen X, et al. Prediction for asphalt pavement water film thickness based on artificial neural network[J]. Journal of Southeast University(English Edition), 2017, 33(4):490-495. DOI: 10.3969 /j.issn.1003-7985.2017.04.016.
[3] Chen F P. Study on the theoretical calculation model of rain water depth on road surface[J].Modern Transportation Technology, 2014, 11(3):12-15. http://www.cqvip.com/read/read.aspx?id=50269212.(in Chinese)
[4] Zhang L, Zhang Z. Impact of road slope on water film thickness[J].Journal of Chongqing Jiaotong University(Natural Sciences), 2013, 32(3):404-406. DOI:10.3969/j.issn.1674-0696.2013.03.08. (in Chinese)
[5] Staufer P, Siekmann M, Loos S, et al. Numerical modeling of water levels on pavements under extreme rainfall[J]. Journal of Transportation Engineering, 2012, 138(6): 732-740. DOI: 10.1061/(ASCE)TE.1943-5436.0000373.
[6] Herrmann S R.Simulationsmodell zum wasserabfluss-und aquaplaning-verhalten auf fahrbahnoberflächen[D]. Universität Stuttgart: Veröffentlichungen aus dem Institut für Straßen-und Verkehrswesen, 2008: 48-68. DOI: 10.18419/opus-277.
[7] Cristina C M, Sansalone J J. Kinematic wave model of urban pavement rainfall-runoff subject to traffic loadings[J]. Journal of Environmental Engineering, 2003, 129(7):629-636. DOI: 10.1061/(ASCE)0733-9372(2003)129:7(629).
[8] Chen L, Battaglia F, Flintsch G W, et al. Highway drainage at superelevation transitions by 3-D computational fluid dynamics modeling[R/OL]. Transportation Research Board, 2017. https://trid.trb.org/view.aspx?id=1437588.
[9] Tan S A, Fwa T F, Chai K C. Drainage considerations for porous asphalt surface course design[J]. Transportation Research Record: Journal of the Transportation Research Board, 2004, 1868: 142-149. DOI: 10.3141/1868-15.
[10] Gómez M, Recasens J, Russo B, et al. Assessment of inlet efficiency through a 3D simulation: Numerical and experimental comparison[J]. Water Science and Technology, 2016, 74(8): 1926-1935. DOI: 10.2166/wst.2016.326.
[11] Charbeneau R J, Jeong J, Barrett M E. Highway drainage at superelevation transitions[R/OL]. Highway Design, 2008. http://www.utexas.edu/research/ctr/pdf_reports/0_4875_1.pdf.
[12] Jeong J, Charbeneau R J. Diffusion wave model for simulating storm-water runoff on highway pavement surfaces at superelevation transition[J]. Journal of Hydraulic Engineering, 2010, 136(10): 770-778. DOI: 10.1061/(ASCE)HY.1943-7900.0000253.
[13] Ressel W, Wolff A, Alber S, et al. Modelling and simulation of pavement drainage[J]. International Journal of Pavement Engineering, 2017(2): 1-10. DOI: 10.1080/10298436.2017.1347437.
[14] Chen X H, Geng Y F, Jiang Q L, et al. Innovative approach for pavement runoff characterization[J]. Journal of Performance of Constructed Facilities, 2017, 31(5):04017047. DOI: 10.1061/(ASCE)CF.1943-5509.0001045.
[15] Guo X, Wu Z, He H, et al. Variations in the start, end, and length of extreme precipitation period across China[J]. International Journal of Climatology, 2017(12). DOI: 10.1002/joc.5345.
[16] Brown S A, Schall J D, Morris J L, et al. Urban drainage design manual. Hydraulic engineering circular 22, No. NHI-01-021 HEC-22[R/OL]. Washington, DC, USA: Federal Highway Administration(FHWA), 2009. https://www.fhwa.dot.gov/engineering/hydraulics/library_arc.cfm?pub_number=22&id=140.
[17] Qian Q, Liu X Y, Barrett M E, et al. Physical modeling on hydraulic performance of rectangular bridge deck Drains[J]. Water, 2016, 8(2): 67. DOI: 10.3390/w8020067.
[18] McCuen R H, Spiess J M. Assessment of kinematic wave time of concentration[J]. Journal of Hydraulic Engineering, 1995, 121(3): 256-266. DOI: 10.1061/(ASCE)0733-9429(1995)121:3(256).
[19] Ministry of Transport of the People’s Republic of China. JTG D60—2015 General specifications for design of highway bridges and culverts[S]. Beijing: China Communications Press, 2015.(in Chinese)
[20] Schalla F E, Ashraf M, Barrett M E, et al. Limitations of traditional capacity equations for long curb inlets[J]. Transportation Research Record: Journal of the Transportation Research Board, 2017, 2638:97-103. DOI: 10.3141/2638-11.

Memo

Memo:
Biography: Geng Yanfen(1978— ), female, doctor, associate professor, yfgeng@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.51109039, 5147814).
Citation: Geng Yanfen, Ke Xing, Zheng Xin.Spatiotemporal distribution characteristics of bridge deck runoff[J].Journal of Southeast University(English Edition), 2018, 34(4):517-523.DOI:10.3969/j.issn.1003-7985.2018.04.015.
Last Update: 2018-12-20