Volume 23 Issue 1
Feb.  2023
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2023  >  23(1): 105-114
CAI Jue-wei, ZHAO Hong-duo, QIAN Xin, WU Ming-tao, QIAN Jin-song. Estimation method for area distribution of water film thickness on airport runway modified by measured data in real time[J]. Journal of Traffic and Transportation Engineering, 2023, 23(1): 105-114. doi: 10.19818/j.cnki.1671-1637.2023.01.008
Citation: CAI Jue-wei, ZHAO Hong-duo, QIAN Xin, WU Ming-tao, QIAN Jin-song. Estimation method for area distribution of water film thickness on airport runway modified by measured data in real time[J]. Journal of Traffic and Transportation Engineering, 2023, 23(1): 105-114. doi: 10.19818/j.cnki.1671-1637.2023.01.008
shu

Estimation method for area distribution of water film thickness on airport runway modified by measured data in real time

doi: 10.19818/j.cnki.1671-1637.2023.01.008
  • 1.

    Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China

  • 2.

    Key Laboratory of Infrastructure Durability and Operation Safety in Airfield of CAAC, Tongji University, Shanghai 201804, China

Funds:

National Natural Science Foundation of China 51978520

National Key Research and Development Program of China 2018YFB1600201

More Information
    Abstract
  • To accurately predict the area distributions of water film thickness on the runway under different runway and rainfall conditions, a numerical model of area distribution of water film thickness was built according to the two-dimensional shallow water equations. A numerical algorithm was developed on the basis of the lattice finite volume method and the approximate Riemann solution in Harten, Lax and van Leer (HLL) format. On this basis, the measured data of the water film thickness were incorporated, and the optimal Manning coefficient under the actual rainfall conditions was obtained by the construction of the adjoint equation and the use of the gradient descent method. In this way, results of the two-dimensional shallow water equations were dynamically modified, and the area distribution of water film thickness on the runway was accurately estimated. The influences of the update interval of Manning coefficient and the spatial sampling interval of elevation on the calculation efficiency and accuracy of the model were analyzed by calculation. In the calculation, the measured data of the water film thickness from the security early-warning platform of the Beijing Capital International Airport and the pavement elevation data collected by a vehicle-mounted LiDAR system were employed. The accuracy of the algorithm was verified by the measured data. Research results show that under the real time monitoring requirements of water film thickness and the comprehensive consideration of time consumption and calculation accuracy, the optimal update interval of Manning coefficient is 30-300 s. The optimal spatial sampling interval of elevation is 0.1-0.5 m for the runway with an even surface and 0.10-0.25 m for the runway with diseases such as ruts. Under the actual rainfall conditions, the average error between the calculated water film thickness and the measured value is 0.13 mm, and the maximum error is 0.76 mm. This can meet the monitoring requirement of the airport for the water film thickness. It can be seen that the proposed estimation method for the area distribution of water film thickness on the runway can accurately obtain the distribution and time evolution of water film thickness on a runway with a given elevation. By this method, reliable data support can be provided for the skid resistance evaluation and risk early-warning for wet runways.

     

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    • References(30)
  • [1]
    DO M T, CEREZO V, BEAUTRU Y, et al. Influence of thin water film on skid resistance[J]. Journal of Traffic and Transportation Engineering (English Edition), 2014, 2(1): 36-44.
    [2]
    CHU Long-jia, FWA T F. Incorporating pavement skid resistance and hydroplaning risk considerations in asphalt mix design[J]. Journal of Transportation Engineering, 2016, 142(10): 04016039. doi: 10.1061/(ASCE)TE.1943-5436.0000872
    [3]
    FWA T F, ONG G P. Wet-pavement hydroplaning risk and skid resistance: analysis[J]. Journal of Transportation Engineering, 2008, 134(5): 182-190. doi: 10.1061/(ASCE)0733-947X(2008)134:5(182)
    [4]
    中国民用航空局. 民用机场飞行区场地维护技术指南[R]. 北京: 中国民用航空局, 2010.

    Civil Aviation Administration of China. Technical guide for maintenance of civil airport airfield[R]. Beijing: Civil Aviation Administration of China, 2010. (in Chinese)
    [5]
    孙林. IRS21智能路面路况传感器研究[D]. 南京: 东南大学, 2009.

    SUN Lin. Research on intelligent road surface sensor IRS21[D]. Nanjing: Southeast University, 2009. (in Chinese)
    [6]
    丁卯. 用于道路表面的冰雪检测技术的研究[D]. 南京: 东南大学, 2012.

    DING Mao. Research on ice and snow detection technology for pavement surface[D]. Nanjing: Southeast University, 2012. (in Chinese)
    [7]
    EWAN L, AL-KAISY A, VENEZIANO D. Remote sensing of weather and road surface conditions: is technology mature for reliable intelligent transportation systems applications?[J]. Transportation Research Record, 2013, 2329(1): 8-16. doi: 10.3141/2329-02
    [8]
    赵鸿铎, 伍梦竹, 吴世涛. 沥青道面摩擦系数随水膜厚度的变化规律[J]. 中国民航大学学报, 2015, 33(2): 47-52. doi: 10.3969/j.issn.1674-5590.2015.02.011

    ZHAO Hong-duo, WU Meng-zhu, WU Shi-tao. Variation of asphalt pavement friction coefficient with change of water film thickness[J]. Journal of Civil Aviation University of China, 2015, 33(2): 47-52. (in Chinese) doi: 10.3969/j.issn.1674-5590.2015.02.011
    [9]
    BI Yan-qiu, PEI Jian-zhong, GUO Fu-cheng, et al. Implementation of polymer optical fibre sensor system for monitoring water membrane thickness on pavement surface[J]. International Journal of Pavement Engineering, 2021, 22(7): 872-881. doi: 10.1080/10298436.2019.1652298
    [10]
    CAI Jue-wei, ZHAO Hong-duo, ZHU Xing-yi, et al. Wide-area dynamic sensing method of water film thickness on asphalt runway[J]. Journal of Testing and Evaluation, 2020, 48(3): 20190172. doi: 10.1520/JTE20190172
    [11]
    HORNE W B, DREHER R C. Phenomena of pneumatic tire hydroplaning[R]. Washington DC: National Aeronautics and Space Administration, 1963.
    [12]
    LUO Jing, LIU Jian-bei, GUO Teng-feng, et al. Validation study of road surface water film depth prediction model[J]. Advanced Materials Research, 2014, 1079/1080: 379-385. doi: 10.4028/www.scientific.net/AMR.1079-1080.379
    [13]
    GALLAWAY B M, ROSE J G, SCHILLER J R E. The relative effects of several factors affecting rainwater depths on pavement surfaces[J]. Highway Research Record, 1972, 396: 59-71.
    [14]
    ANDERSON J. Depth of rain water on road surface[J]. Highways and Transportation, 1995, 42(5): 45-49.
    [15]
    季天剑, 黄晓明, 刘清泉, 等. 沥青路面表面水膜厚度试验[J]. 公路交通科技, 2004, 21(12): 14-17. doi: 10.3969/j.issn.1002-0268.2004.12.004

    JI Tian-jian, HUANG Xiao-ming, LIU Qing-quan, et al. Test depth of water film on asphalt pavement surface[J]. Journal of Highway and Transportation Research and Development, 2004, 21(12): 14-17. (in Chinese) doi: 10.3969/j.issn.1002-0268.2004.12.004
    [16]
    罗京, 刘建蓓, 王元庆. 路面水膜深度预测模型验证试验[J]. 中国公路学报, 2015, 28(12): 57-63. doi: 10.3969/j.issn.1001-7372.2015.12.008

    LUO Jing, LIU Jian-bei, WANG Yuan-qing. Validation test on pavement water film depth prediction model[J]. China Journal of Highway and Transport, 2015, 28(12): 57-63. (in Chinese) doi: 10.3969/j.issn.1001-7372.2015.12.008
    [17]
    HUEBNER R S, ANDERSON D A, WARNER J C. Proposed design guidelines for reducing hydroplaning on new and rehabilitated pavements[R]. Washington DC: National Cooperative Highway Research Program Research Results Digest, 1999.
    [18]
    张理, 张卓. 路面坡度对水膜厚度的影响分析[J]. 重庆交通大学学报(自然科学版), 2013, 32(3): 404-406, 423. doi: 10.3969/j.issn.1674-0696.2013.03.08

    ZHANG Li, ZHANG Zhuo. Impact of road slope on water film thickness[J]. Journal of Chongqing Jiaotong University(Natural Science), 2013, 32(3): 404-406, 423. (in Chinese) doi: 10.3969/j.issn.1674-0696.2013.03.08
    [19]
    耿艳芬, 陈先华, 陈悦, 等. 基于二维浅水方程的直线段沥青路面径流特性[J]. 交通运输工程学报, 2019, 19(1): 9-16. doi: 10.3969/j.issn.1671-1637.2019.01.002

    GENG Yan-fen, CHEN Xian-hua, CHEN Yue, et al. Runoff characteristics for straightline segment asphalt pavement based on two-dimensional shallow water equations[J]. Journal of Traffic and Transportation Engineering, 2019, 19(1): 9-16. (in Chinese) doi: 10.3969/j.issn.1671-1637.2019.01.002
    [20]
    RESSEL W, WOLFF A, ALBER S, et al. Modelling and simulation of pavement drainage[J]. International Journal of Pavement Engineering, 2019, 20(7): 801-810. doi: 10.1080/10298436.2017.1347437
    [21]
    AZAMATHULLA H M, JARRETT R D. Use of gene-expression programming to estimate Manning's roughness coefficient for high gradient streams[J]. Water Resources Management, 2013, 27(3): 715-729. doi: 10.1007/s11269-012-0211-1
    [22]
    季天剑. 降雨对轮胎与路面附着系数的影响[D]. 南京: 东南大学, 2004.

    JI Tian-jian. Effect of rainfall on friction coefficient between tire and pavement[D]. Nanjing: Southeast University, 2004. (in Chinese)
    [23]
    YU Chun-shui, DUAN J. Two-dimensional hydrodynamic model for surface-flow routing[J]. Journal of Hydraulic Engineering, 2014, 140(9): 04014045. doi: 10.1061/(ASCE)HY.1943-7900.0000913
    [24]
    HARTEN A. On a class of high-resolution total-variation-stable finite-difference schemes[J]. SIAM Journal on Numerical Analysis, 1984, 21(1): 1-23. doi: 10.1137/0721001
    [25]
    LUO Chen, XU Ke, ZHAO Yun-sheng. A TVD discretization method for shallow water equations: numerical simulations of tailing dam break[J]. International Journal of Modeling, Simulation, and Scientific Computing, 2017, 8(3): 1850001. doi: 10.1142/S1793962318500010
    [26]
    CEA L, FRENCH J R, VÁZQUEZ-CENDÓN M E. Numerical modelling of tidal flows in complex estuaries including turbulence: an unstructured finite volume solver and experimental validation[J]. International Journal for Numerical Methods in Engineering, 2006, 67(13): 1909-1932. doi: 10.1002/nme.1702
    [27]
    PAPPENBERGER F, BEVEN K, HORRITT M, et al. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations[J]. Journal of Hydrology, 2005, 302(1/2/3/4): 46-69.
    [28]
    柏禄海. 浅水方程高分辨率算法的研究[D]. 大连: 大连理工大学, 2013.

    BAI Lu-hai. Study on the shallow water equations of high-resolution algorithm[D]. Dalian: Dalian University of Technology, 2013. (in Chinese)
    [29]
    中国民用航空局. 运输机场跑道表面状况评估和报告规则[R]. 北京: 中国民用航空局, 2020.

    Civil Aviation Administration of China. Reporting format using standard runway condition report[R]. Beijing: Civil Aviation Administration of China, 2020. (in Chinese)
    [30]
    YANG Wen-chen, TIAN Bi-jiang, FANG Yu-wei, et al. Evaluation of highway hydroplaning risk based on 3D laser scanning and water-film thickness estimation[J]. International Journal of Environmental Research and Public Health, 2022, 19(13): 7699. doi: 10.3390/ijerph19137699
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