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Characterisation of fatigue damage in asphalt mixtures using X-ray computed tomography

Chen, Anqi; Airey, Gordon; Thom, Nick; Li, Yuanyuan

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Authors

Anqi Chen

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GORDON AIREY GORDON.AIREY@NOTTINGHAM.AC.UK
Professor of Pavement Engineering Materials

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NICK THOM NICHOLAS.THOM@NOTTINGHAM.AC.UK
Assistant Professor

Yuanyuan Li



Abstract

The high-resolution X-ray CT was applied to investigate the fatigue damage evolution of asphalt mixtures. The detailed Xray CT images in the centre of the samples were used to characterise the fatigue cracking and air voids increase at different vertical deformations. Air void content and surface area distribution before and after loading were also analysed. The results show that the main failure mode of asphalt mixtures at low temperature is debonding at the interface between aggregates and mastic, which is an adhesive failure. The maximum change of air void content due to fatigue damage often occurs near the middle of the sample. Cracks were observed in and around flat and elongated aggregates and on aggregates with insufficient fracture faces, demonstrating the effects of aggregate angularity and shape on fatigue cracking. The microcracks develop continuously throughout the entire fatigue process.

Citation

Chen, A., Airey, G., Thom, N., & Li, Y. (2022). Characterisation of fatigue damage in asphalt mixtures using X-ray computed tomography. Road Materials and Pavement Design, https://doi.org/10.1080/14680629.2022.2029756

Journal Article Type Article
Acceptance Date Jan 11, 2022
Online Publication Date Feb 2, 2022
Publication Date Feb 2, 2022
Deposit Date Feb 11, 2022
Publicly Available Date Feb 11, 2022
Journal Road Materials and Pavement Design
Print ISSN 1468-0629
Electronic ISSN 2164-7402
Publisher Taylor and Francis
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/14680629.2022.2029756
Keywords Civil and Structural Engineering
Public URL https://nottingham-repository.worktribe.com/output/7377614
Publisher URL https://www.tandfonline.com/doi/full/10.1080/14680629.2022.2029756

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