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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Bo Yao,Cheng Cheng,Xiao Wang,Gang Cheng,Song-Yu Liu.Modelling the Rheological Properties of Epoxy Asphalt Concrete[J].Journal of Harbin Institute Of Technology(New Series),2013,20(6):106-111.DOI:10.11916/j.issn.1005-9113.2013.06.015.
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Modelling the Rheological Properties of Epoxy Asphalt Concrete
Author NameAffiliation
Bo Yao School of Transportation, Southeast University, Nanjing 210096, China 
Cheng Cheng School of Transportation, Southeast University, Nanjing 210096, China 
Xiao Wang School of Transportation, Southeast University, Nanjing 210096, China 
Gang Cheng School of Transportation, Southeast University, Nanjing 210096, China 
Song-Yu Liu School of Transportation, Southeast University, Nanjing 210096, China 
Abstract:
This paper presents an investigation into modelling the rheological properties of epoxy asphalt concrete (EAC) by using the Huet-Sayegh model. Complex modulus tests were conducted on EAC specimens at various temperature and loading frequency conditions. Dynamic modulus and phase angles obtained from the complex modulus tests were used in the construction of the Huet-Sayegh model. The dynamic modulus master curve was developed by the Huet-Sayegh model as well as the Burgers model for comparison purpose. The results showed that EAC exhibits typical rheological behavior whose dynamic modulus decreases with the increase of temperature while increases with the increase of frequency, and phase angles increase with the decrease of frequencies and the increase of temperatures. The Huet-Sayegh model predicts the dynamic modulus master curve of EAC very well and much better than the Burgers model over a wide range of frequencies.
Key words:  epoxy asphalt concrete  rheological properties  complex modulus test  Huet-Sayegh model
DOI:10.11916/j.issn.1005-9113.2013.06.015
Clc Number:U443.33
Fund:

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