Huailei Cheng , Lijun Sun , Yuhong Wang , Liping Liu , Xingyu Chen
{"title":"Fatigue test setups and analysis methods for asphalt mixture: A state-of-the-art review","authors":"Huailei Cheng , Lijun Sun , Yuhong Wang , Liping Liu , Xingyu Chen","doi":"10.1016/j.jreng.2022.11.002","DOIUrl":null,"url":null,"abstract":"<div><p>Fatigue performance evaluation on asphalt mixture provides an essential reference for asphalt mixture design and pavement structure design. Laboratory fatigue test has been widely used by researchers and engineers to assess the fatigue performance of asphalt mixture, due to its low cost, high efficiency, and strong operability. To ensure performance assessment reliability, fatigue test operated in the laboratory needs to simulate the loading and environmental conditions occurring in the field asphalt layer. As a result, loading setups in laboratory fatigue tests, including loading mode, loading frequency, loading waveform, temperature, and the controlled mode, have been carefully devised by researchers. This paper reviews the above common setups in fatigue tests, which aims to illustrate the classical and latest considerations as well as ideas proposed by researchers for improving fatigue test procedures. As fatigue response data of asphalt mixture is measured from fatigue test, an analysis method is required to process the data and identify fatigue behaviors of the material. Presently, the frequently-used fatigue data analysis methods include the fatigue life model, stiffness-modulus-based method, energy-based method, and viscoelastic continuum damage (VECD) method. This paper also provides a review survey on the main concepts, indicators, and models included in those methods to facilitate their applications. Meanwhile, the latest research progress and outputs related to the four methods are also introduced and discussed to reveal the state-of-the-art developments in this research area.</p></div>","PeriodicalId":100830,"journal":{"name":"Journal of Road Engineering","volume":"2 4","pages":"Pages 279-308"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2097049822000609/pdfft?md5=e9847149b9d16545503b6a191c962e31&pid=1-s2.0-S2097049822000609-main.pdf","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Road Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2097049822000609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Fatigue performance evaluation on asphalt mixture provides an essential reference for asphalt mixture design and pavement structure design. Laboratory fatigue test has been widely used by researchers and engineers to assess the fatigue performance of asphalt mixture, due to its low cost, high efficiency, and strong operability. To ensure performance assessment reliability, fatigue test operated in the laboratory needs to simulate the loading and environmental conditions occurring in the field asphalt layer. As a result, loading setups in laboratory fatigue tests, including loading mode, loading frequency, loading waveform, temperature, and the controlled mode, have been carefully devised by researchers. This paper reviews the above common setups in fatigue tests, which aims to illustrate the classical and latest considerations as well as ideas proposed by researchers for improving fatigue test procedures. As fatigue response data of asphalt mixture is measured from fatigue test, an analysis method is required to process the data and identify fatigue behaviors of the material. Presently, the frequently-used fatigue data analysis methods include the fatigue life model, stiffness-modulus-based method, energy-based method, and viscoelastic continuum damage (VECD) method. This paper also provides a review survey on the main concepts, indicators, and models included in those methods to facilitate their applications. Meanwhile, the latest research progress and outputs related to the four methods are also introduced and discussed to reveal the state-of-the-art developments in this research area.