期刊
MATERIALS
卷 14, 期 23, 页码 -出版社
MDPI
DOI: 10.3390/ma14237151
关键词
porous asphalt mixtures; moisture sensitivity; moisture damage; damage evolution; durability
类别
资金
- National Natural Science Foundation of China [52008333]
- Natural Science Basic Research Program of Shaanxi [2020JQ-680]
- China Postdoctoral Science Foundation [2020M673354]
- Scientific Research Program Funded by Shaanxi Provincial Education Department [20JK0711]
This study investigates the moisture damage evolution and durability damage evolution of porous asphalt mixtures, finding that moisture significantly influences fatigue life and results in more severe damage under wet conditions. Damage factors based on indirect tensile strength and resilience modulus are proposed to predict the loading history of porous asphalt mixtures.
Porous asphalt (PA) mixtures are designed with a high air void (AV) (i.e., 18~22%) content allowing rainwater to infiltrate into their internal structures. Therefore, PA mixtures are more sensitive to moisture damage than traditional densely graded asphalt mixtures. However, the moisture damage evolution of PA mixtures is still unclear. The objective of this study was to investigate the moisture damage evolution and durability damage evolution of PA mixtures. The indirect tensile test (ITT), ITT fatigue test, and Cantabro loss test were used to evaluate the moisture sensitivity and durability of PA mixtures, and a staged ITT fatigue test was developed to investigate the damage evolutions under dry and wet conditions. Indirect tensile strength (ITS), fatigue life, indirect tensile resilience modulus (E), and durability decreased with the increment of moisture damage and loading cycles. The fatigue life is more sensitive to the moisture damage. The largest decrements in ITS and E were found in the first 3000 loading cycles, and PA mixtures tended to fail when the decrement exceeded 60%. Damage factors based on the ITS and E are proposed to predict the loading history of PA mixtures. The durability damage evolution and damage factors could fit an exponential model under dry conditions. Moisture had a significant influence and an acceleration function on the moisture damage evolution and durability damage evolution of PA mixtures.
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