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- Title
Research on Fatigue Characteristics and Prediction of Large-Particle Asphalt Mixtures Based on Four-Point Bending Tests.
- Authors
Wei, Li; Lv, Jinlong; Rong, Hongliu; Yang, Xiaolong
- Abstract
Large aggregate asphalt mixtures can absorb noise, reduce water damage, effectively improve the service life of roads, and reduce environmental pressure. In this study, the fatigue characteristics of a large-sized asphalt mixture, LSAM-30, were investigated using four-point bending tests. The fatigue performance of LSAM-30 was compared to that of AC-13 and AC-20 asphalt mixtures across a range of temperatures, frequencies, and strains. The results indicated that the temperature, frequency, and strain significantly affect the fatigue performance of LSAM-30. As the temperature or frequency increased, the disparity in the fatigue performances of LSAM-30, AC-13, and AC-20 became more pronounced. Furthermore, the variations in the strain did not exhibit a clear pattern in the fatigue performance ratio among the three asphalt mixtures, with the ratio changes being minor (<5%). Additionally, an exponential-function-based predictive equation was proposed, showing how the fatigue characteristics of LSAM-30 vary with changes in frequency and temperature.
- Subjects
MATERIAL fatigue; ASPHALT; WATER damage; BEND testing; SERVICE life; FORECASTING; FATIGUE life
- Publication
Sustainability (2071-1050), 2024, Vol 16, Issue 11, p4844
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su16114844