Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography

Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography

Temperature segregation during the paving of asphalt pavements is one of the causes of asphalt pavement distress. Therefore, controlling the paving temperature is crucial in the construction of asphalt pavements. To quickly evaluate the road performance of asphalt mixtures during paving, in this wor...

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Bibliographic Details
Published in:Materials Vol. 15; no. 12; p. 4309
Main Authors: Chen, Wei, Wei, Kesen, Wei, Jincheng, Han, Wenyang, Zhang, Xiaomeng, Hu, Guiling, Wei, Shuaishuai, Niu, Lei, Chen, Kai, Fu, Zhi, Xu, Xizhong, Xu, Baogui, Cui, Ting
Format: Journal Article
Language:English
Published: Basel MDPI AG 17-06-2022
MDPI
Subjects:
Asphalt mixes
Asphalt pavements
Construction sites
Coring
Heat detection
High temperature
Infrared analysis
Infrared imaging
infrared thermal imaging technology of an unmanned aerial vehicle (UAV)
Laboratory tests
Melt temperature
melt temperature threshold
molding temperature-road performance prediction model
optimal temperature measurement height
Pavement construction
Paving
Performance evaluation
Prediction models
Roads & highways
Roadworthiness
Stability analysis
Temperature
Temperature distribution
Temperature measurement
Tensile strength
Thermal imaging
Thermography
Unmanned aerial vehicles
Water stability
China
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Summary:Temperature segregation during the paving of asphalt pavements is one of the causes of asphalt pavement distress. Therefore, controlling the paving temperature is crucial in the construction of asphalt pavements. To quickly evaluate the road performance of asphalt mixtures during paving, in this work, we used unmanned aerial vehicle infrared thermal imaging technology to monitor the construction work. By analyzing the temperature distribution at the paving site, and conducting laboratory tests, the relationship between the melt temperature, high-temperature stability, and water stability of the asphalt mix was assessed. The results showed that the optimal temperature measurement height for an unmanned aerial vehicle (UAV) with an infrared thermal imager was 7–8 m. By coring the representative temperature points on the construction site and then conducting a Hamburg wheel tracking (HWT) test, the test results were verified through the laboratory test results in order to establish a prediction model for the melt temperature and high-temperature stability of y = 10.73e0.03x + 1415.78, where the predictive model for the melt temperature and water was y = −19.18e−0.02x + 98.03. The results showed that using laboratory tests combined with UAV infrared thermography could quickly and accurately predict the road performance of asphalt mixtures during paving. We hope that more extensive evaluations of the roadworthiness of asphalt mixtures using paving temperatures will provide reference recommendations in the future.
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ISSN:1996-1944
1996-1944
DOI:10.3390/ma15124309