期刊
CONSTRUCTION AND BUILDING MATERIALS
卷 279, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2021.122435
关键词
Multi-sequenced repeated load test; Strain response; Resilient modulus; Non-recoverable compliance; Percent recovery
资金
- Natural Science Foundation of Guangdong Province, China [20201910240001061]
- Jiangsu Department of Transportation [2016Y01]
- Jiangsu Communications Holding Company
It was found that all analyzed indicators except M-r show significant stress-dependency; the vast majority of strain can be recovered with an increased stress playing a negative role in recovery behavior. J(nr) and R are superior to other indicators in statistically differentiating the viscous and elastic properties of different asphalt mixtures.
Rutting is known as a major distress in hot-mix asphalt (HMA) pavements. In order to fully characterize the creep and recovery behaviors of HMA mixes under varying loading conditions at high temperatures, a newly modified multi-sequenced repeated load test with a greatly improved sampling rate of 500 in a second was developed and performed on HMA field cores. Various indicators, including maximum strain, recovered strain, un-recovered strain, resilient modulus (M-r), non-recoverable creep compliance (J(nr)), and percent recovery (R%) were proposed to investigate the visco-elastic properties of asphalt mixture. The stress-dependencies of these indicators were analyzed, besides, the correlation and ANOVA analyses were also conducted. Based on the analysis results, it is found that all analyzed indicators except M-r show significant stress-dependency; the vast majority of strain can be recovered (R > 99%), and an increased stress plays a negative role in recovery behavior. The facts indicate that only in a wider stress domain can the visco-elastic characteristics of HMA mixes be fully understood, furthermore, J(nr) and R are superior to other indicators in statistically differentiating the viscous and elastic properties of different asphalt mixtures, respectively. (C) 2021 Elsevier Ltd. All rights reserved.
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