Prediction of depth temperature of asphalt layers in hot climate area
In determination of flexible pavement layers moduli using Falling Weight Deflectometer (FWD), the pavement depth temperature should be determined and then the moduli should be corrected into a reference temperature. As direct measurement of pavement temperature is time consuming and is difficult to be determined in trafficked roads, some models are developed to predict temperature of asphalt layers through pavement depth, including BELLS model. The objective of this research is to determine correlation between actual measurement and prediction of temperature variations through asphalt layers with applying BELLS model. Ten new and rehabilitated pavement sites were selected in hot climate regions in Khuzestan and Kerman provinces in southern part of Iran. In typical hot summer days, pavement temperatures were measured at half and at one-third of the depth of asphalt layers and FWD testing were performed. Results indicated that a linear regression analysis of BELLS predicted temperatures versus measured values, provides very good correlation with actual field measurements of temperatures through the asphalt layers. Furthermore, predictions were more precise in rehabilitated pavements rather than in newly constructed pavements. Finally, using multi parametric linear fitting analysis, a new model was developed to accurately predict the temperature of asphalt layers in new pavements.
This work is licensed under a Creative Commons Attribution 4.0 International License.
AASHTO. 1993. AASHTO guide for design of pavement structures. American Association of State Highway and Transportation Officials. Washington, D.C., USA.
ARA. 2004. Guide for mechanistic-empirical design of new and rehabilitated pavement structures. NCHRP 1-37A, National Cooperative Highway Research Program, Transportation Research Board, National Research Council. Washington, D.C.
ASTM D7228-06a:2015 Standard test method for prediction of asphalt-bound pavement layer temperatures. West Conshohocken, PA., USA. https://doi.org/10.1520/D7228-06AR15
Dakessian, L.; Harfoushian, H.; Habib, D.; Chehab, G. R.; Saad, G.; Srour, I. 2016. Finite element approach to assess the benefits of asphalt solar collectors, Transportation Research Record: Journal of the Transportation Research Board 2575: 79–91. https://doi.org/10.3141/2575-09
Dawson, T.; Baladi, G.; Musunuru, G.; Prohaska, M.; Jiang, Y. J. 2016. Global procedure for temperature adjustment of measured pavement deflection data – Based on the long-term pavement performance seasonal monitoring program, Transportation Research Record: Journal of the Transportation Research Board 2589: 146–153. https://doi.org/10.3141/2589-16
Deluka-Tibljaš, A.; Šurdonja, S.; Babić, S.; Cuculić, M. 2015. Analysis of urban pavement surface temperatures, The Baltic Journal of Road and Bridge Engineering 10(3): 239–246. https://doi.org/10.3846/bjrbe.2015.30
Dynatest International A/S. 2014. ELMOD user’s manual (ELMOD5). Dynatest Engineering A/S, A/S Reg. No. 63.866. Denmark.
Everitt, P. R. 2001. Prediction of asphalt pavement temperatures in South Africa, in 20th Annual South African Transport Conference and Exhibition, 16–20 July 2001, Pretoria, South Africa.
Fernando, E. G.; Liu, W.; Ryu, D. 2001. Development of a procedure for temperature correction of backcalculated AC modulus. Texas Department of Transportation, Research and Technology Implementation Office, FHWA/TX-02/1863-1.
FHWA. 1994. LTPP seasonal monitoring program: Instrumentation installation and data collection guidelines. Report No. FHWA-RD-94-110. McLean, VA.
García, J. A. R.; Castro, M. 2011. Analysis of the temperature influence on flexible pavement deflection, Construction and Building Materials 25(8): 3530–3539. https://doi.org/10.1016/j.conbuildmat.2011.03.046
Gui, J. G.; Phelan, P. E.; Kaloush, K. E.; Golden, J. S. 2007. Impact of pavement thermophysical properties on surface temperatures, Journal of Materials in Civil Engineering 19(8): 683–690. https://doi.org/10.1061/(ASCE)0899-1561(2007)19:8(683)
Han, R.; Jin, X.; Glover, C. J. 2011. Modeling pavement temperature for use in binder oxidation models and pavement performance prediction, Journal of Materials in Civil Engineering 23(4): 351–359. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000169
Inge, E. H.; Kim, Y. R. 1995. Prediction of effective asphalt layer temperature, Transportation Research Record: Journal of the Transportation Research Board 1473: 93–100.
IRIMO. 2016. Climate data reports 1951–2014 I.R. of Iran Meteorological Organization [online], [cited 25 November 2016]. Available from Internet: http://www.irimo.ir/eng/wd/720-Products-Services.html
Kavussi, A.; Solatifar, N.; Abbasghorbani, M. 2016. Mechanistic-empirical analysis of asphalt dynamic modulus for rehabilitation projects in Iran, Journal of Rehabilitation in Civil Engineering 4(1): 18–29. https://doi.org/10.22075/jrce.2016.488
Korczak, R.; Tighe, S.; Cimini, G. 2012. Use of an automated temperature data logger (ATDL) during falling weight deflectometer (FWD) testing, in Conference of the Transportation Association of Canada Fredericton – Advances in Pavement Evaluation and Instrumentation Session, 2012, New Brunswick, Canada.
Luca, J.; Mrawira, D. 2005. New measurement of thermal properties of Superpave asphalt concrete, Journal of Materials in Civil Engineering 17(1): 72–79. https://doi.org/10.1061/(ASCE)0899-1561(2005)17:1(72)
Petersen, C.; Mahura, A. 2012. Influence of the pavement type on the road surface temperature. Danish Meteorological Institute, Copenhagen, Denmark.
Solatifar, N.; Kavussi, A.; Abbasghorbani, M.; Katicha, S. W. 2017a. Development of dynamic modulus master curves of in-service asphalt layers using MEPDG models, Road Materials and Pavement Design. https://doi.org/10.1080/14680629.2017.1380688
Solatifar, N.; Kavussi, A.; Abbasghorbani, M.; Sivilevičius, H. 2017b. Application of FWD data in developing dynamic modulus master curves of in-service asphalt layers, Journal of Civil Engineering and Management 23(5): 661–671. https://doi.org/10.3846/13923730.2017.1292948
Stubstad, R. N.; Baltzer, S.; Lukanen, E. O.; Ertman-Larsen, H. J. 1994. Prediction of AC mat temperatures for routine load-deflection measurements, in 4th International Conference on the Bearing Capacity of Roads and Airfields, 1994, Minneapolis, Minnesota, USA.
Vasenev, A.; Hartmann, T.; Dorée, A. 2012. Prediction of the in-asphalt temperature for road construction operations, in International Conference on Computing in Civil Engineering, 17–20 June 2012, Clearwater Beach, Florida, USA. https://doi.org/10.1061/9780784412343.0059
Wang, D. 2016. Prediction of time-dependent temperature distribution within the pavement surface layer during FWD testing, Journal of Transportation Engineering 142(7): 06016002. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000854
Wang, Y.; Zhu, S.; Wong, A. S. T. 2014. Cooling time estimation of newly placed hot-mix asphalt pavement in different weather conditions, Journal of Construction Engineering and Management 140(5): 04014009. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000832