An Infrared Image Based Asphalt Temperature Separation Evaluation Model. Issue 1 (1st January 2022)

• Record Type: Journal Article
• Authors: Li, Jun; Peng, Ting; Cheng, Long; Wang, Xiaoling
• Is Part Of: Journal of physics. Volume 2185:Issue 1(2022)
• Publication Date: 2022-01-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2185/1/012087
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This article points out the shortcomings of the NACT assessment index based on infrared images. In order to develop a new method for evaluating temperature separation, this article proposes two influencing factors, namely, a different temperature interval and a low temperature zone based on NACT temperature difference. For the temperature interval, three kinds of asphalt mixtures, AC-13, AC-16 and AC-20, are used to study the change of void ratio at different molding temperatures and obtain the temperature separation evaluation method based on the difference of void ratio in the internal test and obtain the TIC (Temperature Influence Coefficient) for different temperature intervals by conversion; for the low temperature zone, the influence coefficient δ for the low temperature zone is obtained by simulation analysis. By combining TIC and δ, TSSI (Temperature Separation Status Index) is obtained.