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Research Article

Evaluation index for the low-temperature performance of asphalt mixture based on relaxation characteristics of thermal cracking mechanism

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Article: 2241966 | Received 07 Nov 2022, Accepted 24 Jul 2023, Published online: 01 Aug 2023
 

ABSTRACT

The thermal cracking behaviour of asphalt pavement is complex and includes thermal contraction, low-temperature relaxation, and low-temperature damage. However, using relaxation characteristics alone instead of low-temperature properties leads to an incomplete evaluation. In this paper, the relationship between viscoelastic properties and relaxation characteristics was analyzed. Based on the time domain characteristics of relaxation, the relaxation rate and cumulative stress at per unit strain rate (CSSR) were proposed as evaluation indexes corresponding to the long-term/short-term characteristics of the relaxation. By combining the relationship among the low-temperature performance obtained by Thermal Stress Restrained Specimens Test (TSRST) and relaxation characteristics, evaluation indexes for the low-temperature performance of asphalt mixture were preferably selected. The results show that asphalt binders dominate the relaxation characteristics of asphalt mixtures, but do not directly replace the low- temperature performance of asphalt mixtures. The relaxation characteristics expressed by the traditional viscoelastic indexes were insufficient to fully evaluate the low- temperature performance of asphalt mixtures. Furthermore, the results of the relaxation characteristic index for evaluating the low-temperature performance were different under different temperature conditions, indicating that performance at a single temperature cannot replace the low-temperature performance at all temperatures.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Natural Science Foundation of Hebei Province, China (Grant Number E2022210029), National Natural Science Foundation of China (Grant Number U22A20246), Central Leading Local Science and Technology Development Fund Project (Grant Number 226Z1904G), University Natural Science Research Project of Hebei Province (Grant Number KJZX202202), National Natural Science Foundation of China (Grant Number 52172347), National Natural Science Foundation of China (Grant Number 11902206), Hebei Natural Science Foundation (Grant Number A2021210009).

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