Modeling Pavement Temperature for Use in Binder Oxidation Models and Pavement Performance Prediction
Publication: Journal of Materials in Civil Engineering
Volume 23, Issue 4
Abstract
The ability to accurately predict pavement temperature variation with time and depth is critical to calculating binder oxidation in pavements, understanding asphalt material behavior, and predicting pavement performance. In this work, an improved one-dimensional model, coupled with methods to obtain model-required climate data from available databases and optimization of site-specific pavement parameters was developed to calculate hourly pavement temperatures nationwide. Hourly solar radiation and daily average wind speed were obtained from existing databases. Hourly air temperatures were interpolated using a daily air temperature pattern developed from time-series analysis and commonly recorded daily maximum and minimum air temperatures. Parameter estimation identified three critical site-specific pavement parameters: the albedo, the difference between the emissivity and absorption coefficient, and the absorption coefficient. The values of these parameters, optimized at 29 pavement sites nationwide based on the average hourly absolute error objective function, appear to correlate with climatic patterns, suggesting that these parameters be interpolated based on climate. The temperature model, proposed data sources, and site-specific pavement parameters provided calculations that agreed well with experimental measurements.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The writers gratefully acknowledge the support of the TXDOTTexas Department of Transportation and the FHAFederal Highway Administration Asphalt Research Consortium for funding this work. This work was conducted through the Center for Asphalt and Materials Chemistry, a center of the Texas Transportation Institute.
Disclaimer: This research was performed in cooperation with the Texas Department of Transportation (TxDOT) and the U.S. Department of Transportation, and the Federal Highway Administration (FHWA). The contents of this report reflect the views of the writers, who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official view or policies of the FHWA or TxDOT. This report does not constitute a standard, specification, or regulation, nor is it intended for construction, bidding, or permit purposes. Trade names are used solely for information and not for product endorsement.
References
Ahmed, Z., Marukic, I., Zaghloul, S., and Vitillo, N. (2005). “Validation of enhanced intergrated climatic model predictions with New Jersey seasonal monitoring data.” Transportation Research Record 1913, Transportation Research Board, Washington, DC, 148–161.
Brockwell, P. J., and Davis, R. A. (2002). Introduction to time series and forecasting, 2nd Ed., Springer, New York.
Dempsey, B. J. (1970). “A heat transfer model for evaluating frost action and temperature related effects in multilayered pavement systems.” Highway Res. Rec., 342, 39–56.
Glover, C. J., Davidson, R. R., Domke, C. H., Ruan, Y., Juristyarini, P.,Knorr, D. B., and Jung, S. H. (2005). “Development of a new method for assessing asphalt binder durability with field validation.” Rep. FHWA/TX-03/1872-2, Texas Transportation Institute, College Station, TX.
Gui, J., Phelan, P. E., Kaloush, K. E., and Golden, J. S. (2007). “Impact of pavement thermophysical properties on surface temperature.” J. Mater. Civ. Eng., 19, 683–690.
Hermansson, A. (2000). “Simulation model for calculating pavement temperatures, including maximum temperature.” Transportation Research Record 1699, Transportation Research Board, Washington, DC, 134–141.
Hermansson, A. (2004). “Mathematical model for paved surface summer and winter temperature: Comparison of calculated and measured temperatures.” Cold Reg. Sci. Technol., 40, 1–17.
Highter, W. H., and Wall, D. J. (1984). “Thermal properties of some asphalt concrete mixes.” Transportation Research Record 968, Washington, DC, 38–45.
Klein, A. G., and Stroeve, J. (2002). “Development and validation of a snow albedo algorithm for the MODIS instrument.” Ann. Glaciology, 34, 45–52.
Liang, R. Y., Rabab’ah, S., and Al-Akhras, K. (2006). “Validation of enhanced integrated climatic model prediction over different drainable base materials.” Transportation Research Board Annual Meeting 2006, (CD-ROM)Washington, DC.
Lin, M. S., Chaffin, J. M., Liu, M., Glover, C. J., Davison, R. R., and Bullin, J. A. (1996). “The effect of asphalt composition on the formation of asphaltenes and their contribution to asphalt viscosity.” Fuel Sci. Technol. Int., 14(1&2), 139–162.
Luca, J., and Mrawira, D. M. (2005). “New measurement of thermal properties of superpave asphalt concrete.” J. Mater. Civ. Eng., 17, 72–79.
Lytton, R. L., Pugahl, D. E., Michalak, C. H., Liang, H. S., and Dempsey, B. J. (1989). “An integrated model of the climatic effects on pavements.” Rep. FHWA-RD-90-033, Texas Transportation Institute, College Station, TX.
Maxwell, E. L. (1998). “METSTAT: The solar radiation model used in the production of the national solar radiation data base (NSRDB).” Solar Energy, 62, 263–279.
Mrawira, D. M., and Luca, J. (2006). “Effect of aggregate type, gradation, and compaction level on thermal properties of hot-mix asphalts.” Can. J. Civ. Eng., 33, 1410–1417.
National Climatic Data Center (NCDC). (2005a). “Climate maps of United States-mean relative humidity.” 〈http://cdo.ncdc.noaa.gov/cgi-bin/climaps/climaps.pl〉 (Mar. 1, 2008).
National Climatic Data Center (NCDC). (2005b). “Climate maps of United States-mean snow depth.” 〈http://cdo.ncdc.noaa.gov/cgi-bin/climaps/climaps.pl〉 (Mar. 1, 2008).
Perez, R., Ineichen, P., Moore, K., Kmiecik, M., Chain, C., George, R., and Vignola, F. (2002). “A new operational model for satellite-derived irradiances: Description and validation.” Solar Energy, 73, 307–317.
Rumney, T. N., and Jimenez, R. A. (1971). “Pavement temperatures in the Southwest.” Highway Res. Rec., 361, 1–13.
Solaimanian, M., and Kennedy, T. W. (1993). “Predicting maximum pavement surface temperature using maximum air temperature and hourly solar radiation.” Transportation Research Record 1417, Transportation Research Board, Washington, DC, 1–11.
Viswanadham, Y., and Ramanadham, R. (1970). “Estimation of long wave radiation by an empirical method.” Pure Appl. Geophys., 81, 272–278.
Walubita, L. F., Martin, A. E., Glover, C. J., Jung, S. H., Cleveland, G., and Lytton, R. L., and (2005). “Fatigue characterization of HMAC mixtures using mechanistic empirical and calibrated mechanistic approaches including the effects of aging.” Asphalt Concrete Simulation, Modeling, and Experimental Characterization, Proc., R. Lytton Symp. on Mechanics of Flexible Pavements, E. Masad, V. P. Panoskaltsis, and L. Wang, eds., ASCE, Reston, VA, 103–114.
Walubita, L. F., et al. (2006). “Application of the calibrated mechanistic approach with surface energy (CMSE) measurements for fatigue characterization of asphalt mixtures.” J. Assoc. Asphalt Paving Technol., 75, 457–490.
Yavuzturk, C., Ksaibati, K., and Chiasso, A. D. (2005). “Assessment of temperature fluctuations in asphalt pavement due to thermal environmental conditions using a two-dimensional, transient finite-difference approach.” J. Mater. Civ. Eng., 17, 465–475.
Information & Authors
Information
Published In
Journal of Materials in Civil Engineering
Volume 23 • Issue 4 • April 2011
Pages: 351 - 359
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Jul 13, 2009
Accepted: Sep 16, 2010
Published online: Mar 15, 2011
Published in print: Apr 1, 2011
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.