Asphalt Pavement Temperature Prediction Models: A Review

被引:44
|
作者
Adwan, Ibrahim [1 ]
Milad, Abdalrhman [1 ]
Memon, Zubair Ahmed [2 ]
Widyatmoko, Iswandaru [3 ,4 ]
Ahmat Zanuri, Nuryazmin [5 ]
Memon, Naeem Aziz [6 ]
Yusoff, Nur Izzi Md [1 ]
机构
[1] Univ Kebangsaan Malaysia, Dept Civil Engn, Bangi 43600, Selangor, Malaysia
[2] Prince Sultan Univ PSU, Dept Engn Management, Coll Engn, Riyadh 11586, Saudi Arabia
[3] Univ Pertamina, Dept Civil Engn, Jakarta 12220, Indonesia
[4] AECOM, Ctr Excellent Asset Consultancy, Dept Pavement Engn, Nottingham AL1 3ER, England
[5] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Fundamental Engn Studies Programme, Bangi 43600, Selangor, Malaysia
[6] Mehran Univ Engn & Technol, Dept Civil Engn, Jamshoro 76062, Pakistan
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 09期
关键词
pavement temperature; temperature distribution; prediction model; layered systems; heat transfer; climate; asphalt; RIGID PAVEMENTS; PROFILE; IMPACT; ABSORPTION; CRACKING; STRESS; FIELD;
D O I
10.3390/app11093794
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The performance of bituminous materials is mainly affected by the prevailing maximum and minimum temperatures, and their mechanical properties can vary significantly with the magnitude of the temperature changes. The given effect can be observed from changes occurring in the bitumen or asphalt mixture stiffness and the materials' serviceable life. Furthermore, when asphalt pavement layer are used, the temperature changes can be credited to climatic factors such as air temperature, solar radiation and wind. Thus in relevance to the discussed issue, the contents of this paper displays a comprehensive review of the collected existing 38 prediction models and broadly classifies them into their corresponding numerical, analytical and statistical models. These models further present different formulas based on the climate, environment, and methods of data collection and analyses. Corresponding to which, most models provide reasonable predictions for both minimum and maximum pavement temperatures. Some models can even predict the temperature of asphalt pavement layers on an hourly or daily basis using the provided statistical method. The analytical models can provide straight-forward solutions, but assumptions on boundary conditions should be simplified. Critical climatic and pavement factors influencing the accuracy of predicting temperature were examined. This paper recommends future studies involving coupled heat transfer model for the pavement and the environment, particularly consider to be made on the impact of surface water and temperature of pavements in urban areas.
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页数:19
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