TY - JOUR
T1 - Temperature dependency analysis of the fracture characteristics of semi-flexible pavement (SFP) mixtures using acoustic emission technique
AU - Cai, Xing
AU - Leng, Zhen
AU - Ashish, Prabin Kumar
AU - Shi, Chenguang
AU - Yang, Jun
AU - Gong, Minghui
N1 - Funding Information:
The work described in this paper was partially supported by a grant from the National Key R&D Program of China (No.: 2021YFB2601000), Research Grants Council of the Hong Kong Special Administrative Region, China (PolyU 15204022 for GRF project funded in 2022/23 Exercise) and the National Natural Science Foundation of China (No. 52208283).
Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023/5
Y1 - 2023/5
N2 - The poor cracking resistance of Semi-Flexible Pavement (SFP) mixture has limited its wider application. Particularly, the dual skeletal interlocking structure makes its damage process complicated. Its fracture process is expected to change with aggregate gradation and temperature, but the relevant knowledge is very limited. Thus, this study aims to investigate the effects of the two factors on the fracture characteristics of SFP using the acoustic emission (AE) technique and X-ray computed tomography (CT) approach. SFP specimens with three gradations (the target cement grout volume is 22%, 25% and 30%, respectively) were fabricated and subjected to the split tensile tests at three different temperatures (−10°C, 10°C and 25°C). Machine learning-based techniques were applied to analyze the AE signals to improve the understanding of the mesoscale damage process. Although the analysis of macro mechanical parameters showed the diminishing effect of temperature dependency on the fracture process with an increase in cement grout volume, the effect was found to be still significant based on the mesoscale analysis. Besides, it was found that the damage process transferred from the main crack going through cement to distributed meso-cracks in asphalt and cement with the temperature increase.
AB - The poor cracking resistance of Semi-Flexible Pavement (SFP) mixture has limited its wider application. Particularly, the dual skeletal interlocking structure makes its damage process complicated. Its fracture process is expected to change with aggregate gradation and temperature, but the relevant knowledge is very limited. Thus, this study aims to investigate the effects of the two factors on the fracture characteristics of SFP using the acoustic emission (AE) technique and X-ray computed tomography (CT) approach. SFP specimens with three gradations (the target cement grout volume is 22%, 25% and 30%, respectively) were fabricated and subjected to the split tensile tests at three different temperatures (−10°C, 10°C and 25°C). Machine learning-based techniques were applied to analyze the AE signals to improve the understanding of the mesoscale damage process. Although the analysis of macro mechanical parameters showed the diminishing effect of temperature dependency on the fracture process with an increase in cement grout volume, the effect was found to be still significant based on the mesoscale analysis. Besides, it was found that the damage process transferred from the main crack going through cement to distributed meso-cracks in asphalt and cement with the temperature increase.
KW - acoustic emission
KW - damage mode
KW - fracture characteristic
KW - pattern recognition
KW - Semi-flexible pavement material
KW - splitting process
UR - http://www.scopus.com/inward/record.url?scp=85159674884&partnerID=8YFLogxK
U2 - 10.1080/10298436.2023.2201903
DO - 10.1080/10298436.2023.2201903
M3 - Journal article
AN - SCOPUS:85159674884
SN - 1029-8436
VL - 24
JO - International Journal of Pavement Engineering
JF - International Journal of Pavement Engineering
IS - 1
M1 - 2201903
ER -