A Simultaneous System Model to Estimate Temperature of Pavement Layers: Development and Validation

Document Type : Research Paper

Authors

1 Civil Engineering Department, Faculty of Engineering, Sohag University, Sohag, Egypt.

2 Civil Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt

3 Mechanical Engineering Department, Faculty of Engineering, Sohag University, Sohag, Egypt.

Abstract

Many roads in hot regions of the world are exposed to very high temperatures especially in desert areas during the summer season, where the temperature could reach more than sixty Celsius degrees. Temperature variations cause a lot of distress in flexible and rigid pavement such as rutting, vertical transverse (i.e., thermal) cracking, thermal fatigue damage, blowup/buckling, in addition to generating warping stresses. Accurate detection of the surface temperature of flexible pavement is very important for pavement design analysis. This research presents a new model to estimate the temperature of flexible pavement layers under extremely high temperatures as a set of simultaneous equations. The proposed model included Clear-Sky as sub-model to estimate the solar energy of beam and diffuse radiation of the pavement surface. Ambient temperature was calculated by solving the model depending on the time of the day. The proposed model was validated via experimental data collected from one-year measurements at instrumented pavement section in New Sohag, Egypt. The asphalt surface temperatures were measured for summer, winter solstices and vernal and autumnal equinoxes. It was found that the model provides reasonable estimates compared to the experimental data. The proposed model is deemed appropriate for estimating pavement layers temperature in hot regions.

Keywords

Main Subjects

References

[1]      A. Ongel, J. Harvey, Analysis of 30 years of pavement temperatures using the enhanced integrated climate model (EICM), Pavement Res. Cent. (2004).
[2]      C.E. Zapata, D. Andrei, M.W. Witczak, W.N. Houston, Incorporation of environmental effects in pavement design, Road Mater. Pavement Des. 8 (2007) 667–693.
[3]      J. Chen, H. Wang, P. Xie, Pavement temperature prediction: Theoretical models and critical affecting factors, Appl. Therm. Eng. 158 (2019) 113755.
[4]      J. Chen, H. Wang, M. Li, L. Li, Evaluation of pavement responses and performance with thermal modified asphalt mixture, Mater. Des. 111 (2016) 88–97.
[5]      H. Wang, I.L. Al-Qadi, Importance of nonlinear anisotropic modeling of granular base for predicting maximum viscoelastic pavement responses under moving vehicular loading, J. Eng. Mech. 139 (2013) 29–38.
[6]      I.L. Al-Qadi, H. Wang, Prediction of tire pavement contact stresses and analysis of asphalt pavement responses: A decoupled approach, Asph. Paving Technol. Assoc. Asph. Technol. 80 (2011) 289.
[7]      M. Islam, Thermal Fatigue Damage of Asphalt Pavement. University of New Mexico, Albuquerque, (2015).
[8]      Z. Khan, H.M. Faisal, R. Tarefder, Fracture toughness measurement of asphalt concrete by nanoindentation, in: ASME Int. Mech. Eng. Congr. Expo., American Society of Mechanical Engineers, 2017: p. V010T13A010.
[9]      M.R. Islam, S. Ahsan, R.A. Tarefder, Modeling temperature profile of hot-mix asphalt in flexible pavement, Int. J. Pavement Res. Technol. 8 (2015) 47.
[10]    D. Annaratone, Engineering heat transfer, Springer Berlin Heidelberg, 2010. https://doi.org/10.1007/978-3-642-03932-4.
[11]    E.O. Lukanen, R. Stubstad, R.C. Briggs, B. Intertec, Temperature predictions and adjustment factors for asphalt pavement, Turner-Fairbank Highway Research Center, 2000.
[12]    D.-H. Chen, J. Bilyeu, H.-H. Lin, M. Murphy, Temperature correction on falling weight deflectometer measurements, Transp. Res. Rec. 1716 (2000) 30–39.
[13]    M. Li, H. Wang, G. Xu, P. Xie, Finite element modeling and parametric analysis of viscoelastic and nonlinear pavement responses under dynamic FWD loading, Constr. Build. Mater. 141 (2017) 23–35.
[14]    Aa. AASHTO, Mechanistic-empirical pavement design guide: A manual of practice, AAoSHaT Off. Ed. (2008).
[15]    A.D.W. Nuijten, Runway temperature prediction, a case study for Oslo Airport, Norway, Cold Reg. Sci. Technol. 125 (2016) 72–84.
[16]    M. Kangas, M. Heikinheimo, M. Hippi, RoadSurf: a modelling system for predicting road weather and road surface conditions, Meteorol. Appl. 22 (2015) 544–553.
[17]    J. Shao, P.J. Lister, An automated nowcasting model of road surface temperature and state for winter road maintenance, J. Appl. Meteorol. 35 (1996) 1352–1361.
[18]    L.-P. Crevier, Y. Delage, METRo: A new model for road-condition forecasting in Canada, J. Appl. Meteorol. 40 (2001) 2026–2037.
[19]    B.H. Sass, A numerical model for prediction of road temperature and ice, J. Appl. Meteorol. 31 (1992) 1499–1506.
[20]    R.H. Ramadhan, H.I.A.-A. Wahhab, Temperature variation of flexible and rigid pavements in Eastern Saudi Arabia, Build. Environ. 32 (1997) 367–373.
[21]    M. Solaimanian, T.W. Kennedy, predicting maximum pavement surface temperature using maximum air temperature and hourly solar radiation, Transp. Res. Rec. (1993) 1.
[22]    Å. Hermansson, Simulation model for calculating pavement temperatures including maximum temperature, Transp. Res. Rec. 1699 (2000) 134–141.
[23]    D. Wang, simplified analytical approach to predicting asphalt pavement temperature, J. Mater. Civ. Eng. 27 (2015) 4015043.
[24]    D. Wang, Prediction of time-dependent temperature distribution within the pavement surface layer during FWD testing, J. Transp. Eng. 142 (2016) 6016002.
[25]    J. Chen, H. Wang, H. Zhu, Chen et al., 2017], Appl. Therm. Eng. 113 (2017) 739–748.
[26]    A. Asefzadeh, L. Hashemian, A. Bayat, Development of statistical temperature prediction models for a test road in Edmonton, Alberta, Canada, Int. J. Pavement Res. Technol. 10 (2017) 369–382.
[27]    Z.H. Khan, M.R. Islam, R.A. Tarefder, Determining asphalt surface temperature using weather parameters, J. Traffic Transp. Eng. (English Ed. 6 (2019) 577–588.
[28]    H.F. Hassan, A.S. Al-Nuaimi, R. Taha, T.M.A. Jafar, Development of asphalt pavement temperature models for Oman, J. Eng. Res. [TJER]. 2 (2005) 32–42.
[29]    I. Adwan, A. Milad, N.H. Abdullah, I. Widyatmoko, M. Mubaraki, M.R.M.A.T. Yazid, N.U.R.I.M.D. Yusoff, predicting asphalt pavement temperature by using neural network and multiple linear regression approach in the eastern Mediterranean region, (n.d.).
[30]    G.S. Moussa, M. Owais, Modeling Hot-Mix asphalt dynamic modulus using deep residual neural Networks: Parametric and sensitivity analysis study, Constr. Build. Mater. 294 (2021) 123589.
[31]    B.J. Dempsey, M.R. Thompson, A heat transfer model for evaluating frost action and temperature-related effects in multilayered pavement systems, Highw. Res. Rec. (1970).
[32]    Q. Li, D.X. Xiao, K.C.P. Wang, K.D. Hall, Y. Qiu, Mechanistic-empirical Pavement Design Guide (MEPDG): a bird’s-eye view, J. Mod. Transp. 19 (2011) 114–133.
[33]    G.S. Moussa, M. Owais, Pre-trained deep learning for hot-mix asphalt dynamic modulus prediction with laboratory effort reduction, Constr. Build. Mater. 265 (2020) 120239.
[34]    T. Abdel-Wahed, H. Al Nageim, Investigating the effects of cement and cement kiln dust as a filler on the mechanical properties of cold bituminous emulsion mixtures, Int. J. Civ. Eng. Technol. 7 (2016) 441–453.
[35]    B.B. Teltayev, K. Aitbayev, Modeling of transient temperature distribution in multilayer asphalt pavement, Geomech. Eng. 8 (2015) 133–152.
[36]    R.B. Mallick, B.-L. Chen, A. Veeraragavan, G.L. Babu, S. Bhowinick, Reduction of Pavement High Temperature with the Use of Thermal Insulation Layer and High Reflectivity Surface., Int. J. Pavement Res. Technol. 7 (2014).
[37]    B.A. Young, G. Falzone, Z. She, A.M. Thiele, Z. Wei, N. Neithalath, G. Sant, L. Pilon, Early-age temperature evolutions in concrete pavements containing microencapsulated phase change materials, Constr. Build. Mater. 147 (2017) 466–477.
[38]    D. Yinfei, H. Zheng, C. Jiaqi, L. Weizheng, A novel strategy of inducing solar absorption and accelerating heat release for cooling asphalt pavement, Sol. Energy. 159 (2018) 125–133.
[39]    T.A. Abdel-Wahed, N.K. Rashwan, Application of Cement Dust and OPC as Mineral Filler in the binder Hot Mix Asphalt, Eng. Infrastruct. 15 (2016).
[40]    J. Gui, P.E. Phelan, K.E. Kaloush, J.S. Golden, Impact of pavement thermophysical properties on surface temperatures, J. Mater. Civ. Eng. 19 (2007) 683–690.
[41]    W. ShengYue, Z. QiYang, D. YingNa, S. PeiDong, Unidirectional heat-transfer asphalt pavement for mitigating the urban heat island effect, J. Mater. Civ. Eng. 26 (2014) 812–821.
[42]    J. Chen, H. Wang, H. Zhu, Analytical approach for evaluating temperature field of thermal modified asphalt pavement and urban heat island effect, Appl. Therm. Eng. 113 (2017) 739–748.
[43]    J. Yang, Z.-H. Wang, K.E. Kaloush, H. Dylla, Effect of pavement thermal properties on mitigating urban heat islands: A multi-scale modeling case study in Phoenix, Build. Environ. 108 (2016) 110–121.
[44]    D. Feng, J. Yi, D. Wang, Performance, and thermal evaluation of incorporating waste ceramic aggregates in wearing layer of asphalt pavement, J. Mater. Civ. Eng. 25 (2013) 857–863.
[45]    P.K. Dehdezi, R.M. Hall, A. Dawson, Thermo-Physical Optimisation of Specialized Concrete Pavement Materials for Surface Heat Energy Collection and Shallow Heat Storage Applications, (2011).
[46]    H. Wu, B. Sun, Z. Li, J. Yu, Characterizing thermal behaviors of various pavement materials and their thermal impacts on ambient environment, J. Clean. Prod. 172 (2018) 1358–1367.
[47]    H. Li, J. Harvey, D. Jones, Multi-dimensional transient temperature simulation and back-calculation for thermal properties of building materials, Build. Environ. 59 (2013) 501–516.
[48]    H.-G. Kang, Y. ZHENG, Y. CAI, Y. LIU, Regression Analysis of Actual Measurement of Temperature Field Distribution Rules of Asphalt Pavement [J], China J. Highw. Transp. 6 (2007).
[49]    L. Wei, S. Kayser, F. Wellner, Impact of surface temperature on fatigue damage in asphalt pavement, J. Highw. Transp. Res. Dev. (English Ed. 7 (2013) 1–6.
[50]    S. Biswas, L. Hashemian, A. Bayat, Investigation on seasonal variation of thermal-induced strain in flexible pavements based on field and laboratory measurements, Int. J. Pavement Res. Technol. 9 (2016) 354–362.
[51]    M.M. Elsayed, Parametric study of a direct solar-operated, multiple-effect, diffusion still, Sol. Wind Technol. 3 (1986) 95–101.
[52]    S. V Patankar, Numerical heat transfer and fluid flow (Book), Washington, DC, Hemisph. Publ. Corp., 1980. 210 P. (1980).
[53]    J. Luca, D. Mrawira, New measurement of thermal properties of superpave asphalt concrete, J. Mater. Civ. Eng. 17 (2005) 72–79.
[54]    J. Côté, J.-M. Konrad, Thermal conductivity of base-course materials, Can. Geotech. J. 42 (2005) 61–78.
[55]    S. Lu, T. Ren, Y. Gong, R. Horton, an improved model for predicting soil thermal conductivity from water content at room temperature, Soil Sci. Soc. Am. J. 71 (2007) 8–14.
[56]    C. Marshall, R. Meier, M. Welch, Seasonal temperature effects on flexible pavements in Tennessee, Transp. Res. Rec. 1764 (2001) 89–96.
JES. Journal of Engineering Sciences
Volume 50, Issue 2
March and April 2022
Pages 59-74

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