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Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography.
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.
Afiliação
  • Chen W; School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China.
  • Wei K; Zibo Transportation Management Center, Shandong Hi-Speed Company Limited, Zibo 255000, China.
  • Wei J; School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China.
  • Han W; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Zhang X; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Hu G; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Wei S; School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China.
  • Niu L; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Chen K; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Fu Z; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Xu X; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Xu B; Science and Technology Innovation Center, Shandong Transportation Institute, Jinan 250102, China.
  • Cui T; School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China.
Materials (Basel) ; 15(12)2022 Jun 17.
Article em En | MEDLINE | ID: mdl-35744369
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Materials (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China