Asphalt Pavement Temperature Prediction Models: A Review

Abstract

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.

Development of a Hybrid Machine Learning Model for Asphalt Pavement Temperature Prediction

“…The model was validated, and its applicability was verified using the available data from other locations [35]. In recent years, researchers have shown increasing interest in using artificial intelligence techniques, for example, machine learning (ML) and deep learning, to analyse and predict pavement temperature parameters [4,36]. In 2014, a study in Serbia used artificial neural networks to develop models for predicting the minimum and maximum pavement temperatures based on the pavement's surface temperature and depth [23].…”

“…Asphalt flexible pavements are the critical component of transport and highways and are more widely used than other materials because of their superior service performance [1][2][3]. The basis of flexible paving design is climatic conditions and axle load limit [4]. Ninety per cent of the pavements constructed throughout the world use asphalt binders [5].…”

“…The literature review showed that several researchers have developed regression models for predicting pavement temperature [4]. Furthermore, some related studies on the regression models were investigated and compared with the proposed method in Table 2.…”

Review of regulation techniques of asphalt pavement high temperature for climate change adaptation

“…The material factors mainly include the ability to absorb and reflect solar radiation of pavement material, the heat conduction, heat convection, and heat radiation properties of pavement [23]. Many researchers have depicted the schematic diagram of the photo-thermal environment of asphalt pavement [24][25][26]. In this paper, the schematic diagram is further optimized and shown in Fig.…”

Feasibility of Utilizing Waste Polyethylene Terephthalate as Replacement in Asphalt binder Mixture

“…In this case, aggregates and bitumen are heated together at approximately 170°C. The affecting of the prevailing maximum and minimum temperatures on the performance of bituminous materials and their mechanical properties can vary significantly with the temperature changes [2]. The feasibility of engorging waste material used in the highways construction industry plays a leading role worldwide as green investment movement [3,4].…”