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Abstract:
Currently the linear amplitude sweep (LAS) test is one of the main fatigue protocols to estimate the fatigue resistance of asphalt binder. In past 10-years, several data interpretation approaches have been developed for the LAS-based binder fatigue modeling. The objective of this paper is to compare the currently available analytical approaches for the data interpretation of LAS test and further investigate the potential links between the different LAS-based fatigue evaluations of asphalt binders. Totally 20 types of unmodified and modified asphalt binders are selected in this study, which actually cover 35 sample conditions under different aging and temperature levels. Experimental and analysis results indicate that the full fatigue performance of asphalt binder can be characterized from with the S-VECD & G(R) approach. The failure property in LAS test is also well correlated to the binder fatigue life simulation and thus can be utilized to more efficiently distinguish the binder fatigue resistance. Furthermore, the performance predictive accuracy of AASHTO TP101 specification method is strongly dependent on the selected failure definition. Taking the artificial failure definition of 35% reduction in |G*|.sin delta largely underestimates the binder fatigue life when compared to the S-VECD & G(R) approach. However, when a material-dependent failure definition of peak stress is alternatively employed in specification method, the correlation of the predictive binder fatigue life between the two analytical approaches is significantly improved and a linear relationship is additionally found between the S-VECD & G(R) approach and specification method. Therefore, it is recommended that when only the standard LAS test with one loading rate is available in practice, the peak stress failure definition should be used in AASHTO TP101 specification method to provide relatively accurate fatigue performance estimation of asphalt binder.
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Source :
MATERIALS AND STRUCTURES
ISSN: 1359-5997
Year: 2020
Issue: 4
Volume: 53
3 . 8 0 0
JCR@2022
ESI Discipline: MATERIALS SCIENCE;
ESI HC Threshold:169
Cited Count:
WoS CC Cited Count: 23
SCOPUS Cited Count: 23
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 12
Affiliated Colleges: