|Table of Contents|

[1] Jiang Jiwang, Ni Fujian,. Evaluation of fatigue property of asphalt mixturesbased on digital image correlation method [J]. Journal of Southeast University (English Edition), 2017, 33 (2): 216-223. [doi:10.3969/j.issn.1003-7985.2017.02.015]

Evaluation of fatigue property of asphalt mixturesbased on digital image correlation method()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2017 2
Research Field:
Traffic and Transportation Engineering
Publishing date:


Evaluation of fatigue property of asphalt mixturesbased on digital image correlation method
Jiang Jiwang Ni Fujian
School of Transportation, Southeast University, Nanjing 210096, China
asphalt mixtures fatigue behavior digital image correlation indirect tensile fatigue test
In order to evaluate the accumulative of tensile strain in the process of fatigue failure, the digital image correlation(DIC)method was utilized to characterize the tensile strain development of asphalt mixtures in the indirect tensile(IDT)fatigue test. Three typical hot mix asphalt(HMA)mixtures with varying nominal maximum aggregate sizes were tested at four stress levels. During the tests, a digital camera was mounted to capture the displacement/strain fields on the surface of the specimen by recording the real-time change of speckle position. The results indicate that the vertical deformation curve can barely evaluate the fatigue performance accurately due to the non-negligible local deflection near the loading point. However, based on the analysis of strain fields, the optimal fatigue cracking zone is determined as a 40 mm×40 mm rectangle in the middle of the specimens. Also, a reasonable fatigue model based on the tensile strain curves calculated by DIC is proposed to predict the fatigue lives of asphalt mixtures.


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Biographies: Jiang Jiwang(1992—), male, graduate; Ni Fujian(corresponding author), male, doctor, professor, nifujian@gmail.com.
Citation: Jiang Jiwang, Ni Fujian. Evaluation of fatigue property of asphalt mixtures based on digital image correlation method[J].Journal of Southeast University(English Edition), 2017, 33(2):216-223.DOI:10.3969/j.issn.1003-7985.2017.02.015.
Last Update: 2017-06-20