Chapter
Jul 2, 2019
Grey Correlation Analysis of Bio-Oil Rejuenated Asphalt Performance and Components
Authors: Jiayue Xue [email protected], Gang Xu [email protected], Jun Yang [email protected], Weiguang Zhang [email protected], and Yunhong Yu [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
The objective of this paper is to study the relationship between four components and rejuvenated asphalt properties. Long-term aged asphalt was restored with varied dosages of bio-rejuvenator. Rejuvenated asphalt samples were separated into four fractions (aromatics, asphaltenes, resins, and saturates) based on component analysis. Binder properties, consisting of viscosity, performance grade, and fatigue resistance were measured. The chemical composition influence of each fraction on binder properties was analyzed qualitatively by grey correlation analysis. The results showed aromatics were important in affecting low temperature performance. Asphaltenes had a significant effect on viscosity and saturates greatly affected high temperature performance. It was found that asphaltenes exerted a negative influence on fatigue resistance. The results demonstrated the performance variations of binders during aging and rejuvenating process agreed well with the correlation relationship between performance properties and composition fractions. Grey correlation analysis was validated to indicate the performance variation in aged asphalts’ rehabilitation process.
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Published In
CICTP 2019
Pages: 999 - 1010
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: Jul 2, 2019
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Authors
Affiliations
School of Transportation, Southeast Univ., Nanjing 211189, China. E-mail: [email protected]
School of Transportation, Southeast Univ., Nanjing 211189, China. E-mail: [email protected]
School of Transportation, Southeast Univ., Nanjing 211189, China. E-mail: [email protected]
School of Transportation, Southeast Univ., Nanjing 211189, China. E-mail: [email protected]
School of Transportation, Southeast Univ., Nanjing 211189, China. E-mail: [email protected]
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