4.7 Article

The application of intelligent control technology for the evaluation of temperature segregation in asphalt mixture paving

Journal

CONSTRUCTION AND BUILDING MATERIALS
Volume 366, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2022.130178

Keywords

Asphalt pavement; Smart control; Pavement temperature segregation; Pavement temperature cloud map; Road performance

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This study aims to develop an intelligent control system for asphalt mixture paving. A temperature cloud was mapped to monitor and visualize the quality of real-time paving. A comprehensive evaluation method based on temperature segregation index and low-temperature area index was developed. The system was found to be accurate in controlling paving temperature, thickness, and segregation degree. The impact of temperature segregation on asphalt pavement performance was explored, and the cloud map enabled real-time visualization of temperature segregation.
The index of temperature segregation in asphalt mixture paving is one of the key indicators of quality control of asphalt pavement construction. Intelligent control techniques have also been recently used as a novel technology in controlling the temperature segregation of asphalt mixture for paving. Hence, the present study aims at developing an intelligent control system of asphalt mixture paving. Accordingly, to monitor and visualize the quality of the real-time paving, a temperature cloud was mapped for the asphalt mixture paving. Furthermore, a comprehensive evaluation method of paving temperature segregation was developed based on two indices, i.e., temperature segregation index and low-temperature area index. In addition, the accuracy of the developed system in controlling the paving temperature, thickness and segregation degree was practically confirmed. Moreover, the influence of paving temperature segregation on the asphalt pavement performance (compactness and smoothness) were practically explored. The obtained results corroborated the real-time effectiveness of the smart system in controlling the entire process of asphalt mixture paving. Also, the cloud map enabled the visual displaying of the asphalt pavement temperature segregation in real-time. Consequently, the quality of asphalt pavement construction was improved. Hence, the proposed evaluation metric was capable of accurately assess and predict the state and performance of the asphalt mixture paving temperature segregation.

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