Open AccessPrediction of fracture parameters for asphalt mixtures using semi-circular bending test
Author(s) -
Qais Sahib Banyhussan,
Gofran J. Qasim,
Ali Al-Dahawi,
Yaser H. Jabar
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/745/1/012131
Subject(s) - asphalt , fracture toughness , fracture (geology) , materials science , composite material , compaction , bending , strain energy release rate , fracture mechanics , brittleness , brittle fracture
fracture due to brittleness of asphalt concrete mixtures at low and/or intermediate temperatures is considered as the main unsightly distresses of pavements. A dependable value for fracture properties of AC mixtures is required which is considered as a significant design parameter. The aim of this research is to investigate the contribution of different variables on the fracture properties; fracture energy and fracture toughness using semi-circular bending (SCB) test. Routine tests were achieved as Marshall Test, where the optimum asphalt content (OAC) was 5.2% with air voids 4%. At this OAC, the number of blows (B) was lowered from 75 to 50 to assess the increase in the air voids on the fracture properties. Three variables were adopted to evaluate the fracture properties; temperature (0, 10 and 20°C), loading rate (0.25, 0.5, and 1 in/min) and compaction effort (50 and 75 blow). The results showed that, a fracture energy (Gf) trend to increase due to increasing in energy effort, loading rate, and temperature. Regarding fracture toughness (Kj), it increased with an increase energy effort and loading rate. On the other hand, the fracture toughness shows a different trend in terms of the changing in temperature where it decreased when the temperature raised from 0 to 20°C. Furthermore, a good correlation between the adopted variables and fracture properties were found through statistical models, where the correlation coefficients R 2 for all models were greater than 0.90.