Characterising the asphalt concrete fracture performance from X-ray CT Imaging and finite element modelling
Document Type
Article
Publication Date
3-4-2018
Abstract
© 2018 Informa UK Limited, trading as Taylor & Francis Group. Crack distress causes asphalt pavement failure under repeated traffic loading. The objective of this study is to investigate the fracture properties of asphalt concrete through three dimensional (3D) numerical simulation using finite element method (FEM). The parameters and datum utilised for finite element models were captured from a grey matrix, which can be converted from digital images scanned by an X-ray computed tomography (CT) apparatus. Afterwards, the uniaxial compression test was simulated using FEM and was also conducted in laboratory to study the stress distribution and to evaluate the degree of damage during the loading process. Eighteen cylindrical asphalt concrete specimens were prepared with three different types of gradations: asphalt concrete, stone matrix asphalt and open-graded friction course. The uniaxial compression test was carried out on these specimens. Before and after each step, the specimens were scanned using X-ray CT to analyse the crack growth behaviour inside the asphalt concrete and to investigate the effect of gradation on the fracture characteristics. The degree of fracture can be evaluated by data analysis from the grey intensity histogram. The evaluation on asphalt concrete crack properties based on FEM with X-ray CT imaging was found to be practicable and reproducible. Additionally, the gradation was found to be an influential factor affecting the crack propagation of asphalt concrete.
Publication Title
International Journal of Pavement Engineering
Recommended Citation
Wang, H.,
Wang, C.,
You, Z.,
Yang, X.,
&
Huang, Z.
(2018).
Characterising the asphalt concrete fracture performance from X-ray CT Imaging and finite element modelling.
International Journal of Pavement Engineering,
19(3), 307-318.
http://doi.org/10.1080/10298436.2017.1347440
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/9362