Development of a temperature prediction model for asphalt pavements considering air temperature data of preceding hours

References

• AASHTO, 2008. Mechanistic-empirical pavement design guide: a manual of practice. Washington, DC: American Association of State Highway and Transportation Officials.
   Google Scholar
• Ali, H.A. and Lopez, A., 1996. Statistical analyses of temperature and moisture effects on pavement structural properties based on seasonal monitoring data. Transportation Research Record: Journal of the Transportation Research Board, 1540, 48–55.
   Google Scholar
• Barber, E.S., 1957. Calculation of maximum pavement temperatures from weather reports. Highway Research Board Bulletin, 168, 1–8.
   Google Scholar
• Bosscher, P.J., et al., 1998. Relationship between pavement temperature and weather data: Wisconsin field study to verify Superpave algorithm. Transportation Research Record: Journal of the Transportation Research Board, 1609, 1–11.
   Google Scholar
• Dempsey, B.J. and Thompson, M.R., 1970. A heat transfer model for evaluating frost action and temperature related effects in multilayered pavement systems. In: Highway research record 342, highway research board. Washington, DC, 39–56.
   Google Scholar
• Diefenderfer, B.K., Al-Qadi, I.L., and Diefenderfer, S.D., 2006. Model to predict pavement temperature profile: development and validation. Journal of Transportation Engineering, 132 (2), 162–167.
   Google Scholar
• Everitt, P.R., 2001. Prediction of asphalt pavement temperatures in South Africa. In: Proc. 20th South African transport conference, Pretoria.
   Google Scholar
• Gedafa, D.S., Hossain, M., and Romanoschi, S.A., 2014. Perpetual pavement temperature prediction model. Road Materials and Pavement Design, 15 (1), 55–65.
   Web of Science ®Google Scholar
• Hajj, E.Y., et al., 2014. Pavement temperature profile prediction: temperature estimate model for pavement structure (TEMPS). In: Presented at FHWA Asphalt Binder Expert Task Group. Baton Rouge, LA.
   Google Scholar
• Huang, Y.H., 2004. Pavement analysis and design. 2nd ed. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Huber, G.A., 1994. Weather database for the SUPERPAVE mix design system. SHRP-A648A, Strategic Highway Research Program. Washington, DC: National Research Council.
   Google Scholar
• Inge, E.H.J. and Kim, Y.R., 1995. Prediction of effective asphalt layer temperature. Transportation Research Record: Journal of the Transportation Research Board, 1473, 93–100.
   Google Scholar
• IRC:115 (Indian Roads Congress), 2014. Guidelines structural evaluation and strengthening of flexible road pavements using falling weight deflectometer (FWD) technique. New Delhi: Indian Roads Congress.
   Google Scholar
• IRC:37 (Indian Roads Congress), 2018. Guidelines for design of flexible pavements (fourth revision). New Delhi: Indian Roads Congress.
   Google Scholar
• IRC:81 (Indian Roads Congress), 1997. Guidelines for strengthening of flexible road pavements using Benkelman beam deflection technique (first revision). New Delhi: Indian Roads Congress.
   Google Scholar
• Islam, M.R., Ahsan, S., and Tarefder, R.A., 2015. Modeling temperature profile of hot-mix asphalt in flexible pavement. International Journal of Pavement Research and Technology, 8 (1), 47–52.
   Google Scholar
• Khan, Z.H., Islam, M.R., and Tarefder, R.A., 2019. Determining asphalt surface temperature using weather parameters. Journal of Traffic and Transportation Engineering (English Edition), 6 (6), 577–588.
   Google Scholar
• Liao, C.C., et al., 2009. Temperature prediction model for flexible pavements in Taiwan. In: Proc., performance modelling and evaluation of pavement systems and materials: selected papers from the 2009 GeoHunan international conference, 82–89.
   Google Scholar
• Lukanen, E.O., Stubstad, R., and Briggs, R., 2000. Temperature predictions and adjustment factors for asphalt pavements. FHWA-RD-98-085. McLean, VA: U. S. Department of Transportation, FHWA.
   Google Scholar
• Marshall, C., Meier, R., and Welch, M., 2001. Seasonal temperature effects on flexible pavements in Tennessee. Transportation Research Record: Journal of the Transportation Research Board, 1764 (1), 89–96.
   Google Scholar
• Matic, B., et al., 2013. A model for the pavement temperature prediction at specified depth. METALURGIJA, 52 (4), 505–508.
   Web of Science ®Google Scholar
• Mohseni, A., 1998. LTTP seasonal Asphalt Concrete (AC) pavement temperature models. FHWA-RD-97-103. McLean, VA: Office of Engineering R&D, FHWA.
   Google Scholar
• MORTH (Ministry of Road Transport and Highways), 2013. Specification of road and bridge works. 5th ed. New Delhi: Indian Roads Congress.
   Google Scholar
• Park, D., Buch, N., and Chatti, K., 2001. Effective layer temperature prediction model and temperature correction via falling weight deflectometer deflection. Transportation Research Record: Journal of the Transportation Research Board, 1764 (01), 97–111.
   Google Scholar
• Salem, H.A., Uzelac, D., and Crvenkovic, Z.L., 2014. Development of a model to predict pavement temperature for Ghat region in Libya. Applied Mechanics and Materials, 587–589, 1115–1124.
   Google Scholar
• Solaimanian, M. and Bolzan, P., 1993. Analysis of the integrated model of climatic effects on pavements. SHRP-A-637, Strategic Highway Research Program. Washington, DC: National Research Council.
   Google Scholar
• Solaimanian, M. and Kennedy, T.W., 1993. Predicting maximum pavement surface temperature using maximum air temperature and hourly solar radiation. Transportation Research Record: Journal of the Transportation Research Board, 1417, 1–11.
   Google Scholar
• Solatifar, N., et al., 2018. Prediction of depth temperature of asphalt layers in hot climate areas. Journal of Civil Engineering and Management, 24 (7), 516–525.
   Web of Science ®Google Scholar
• Southgate, H.F. and Deen, R.C., 1969. Temperature distribution within asphalt pavements and its relationship to pavement deflection. In: Hghway Research Record 291, highway research board. Washington, DC, 116–131.
   Google Scholar
• Stubstad, R.N., et al., 1994. Prediction of AC Mat temperature for routine load/deflection measurements. In: Proc., 4th international conference on bearing capacity of roads and airfields. (Eds.). S. Baltzer, H. Larsen, J. Jansen, E. Lukanen, R, Stubstad, University of Minessota, Minneapolis, MN, 401–412.
   Google Scholar
• Stubstad, R.N., et al., 1998. Calculation of AC layer temperatures from FWD field data. In: Proc., 5th international conference on bearing capacity of roads and airfields. (Ed.). Nordal, R S, and Refsdal, G, Norwegian University of Science and Technology Trondheim, Norway, 919–928.
   Google Scholar
• Taamneh, M., 2016. Temperature profile prediction for flexible pavement structures. HKIE Transactions Hong Kong Institution of Engineers, 23 (3), 150–156.
   Google Scholar
• Walia, A., et al., 2021. Determination of effective depth to measure temperature required for structural evaluation of asphalt pavements. Journal of Transportation Engineering, Part B: Pavements, 147 (3), 1–11.
   Web of Science ®Google Scholar