Characterizing stress-dependent complex and relaxation moduli of dense graded asphalt mixtures


The objective of this paper is to investigate the stress-dependence of the complex and relaxation moduli of dense graded asphalt mixtures. Complex modulus tests at four different confining pressures were conducted. Then, the stress dependence of the long-term equilibrium modulus of asphalt mixture based on Prony series model was modeled by Uzan model. The Maxwell components of the relaxation modulus were determined by a two-step method. Finally, the stress dependence of the relaxation modulus was quantified by relaxation spectrum of the material. The results show that for the selected dense-graded asphalt mixtures, the dynamic modulus increases, and phase angle decreases with the increasing confining pressures at relatively low reduced loading frequency. However, the stress dependence is insignificant in a relatively high-reduced loading frequency. The Uzan model coefficient of the long-term equilibrium modulus of the relaxation modulus can be determined effectively by the proposed deviatoric stress master curves. To obtain reliable and accurate Maxwell component coefficients, it is recommended that: (a) the measured loss moduli rather than the storage moduli should be used to calculate Maxwell component coefficients if collocation method is utilized, and (b) a log-scaled least squared regression minimization objective should be used as the regression objective for the coefficient determination. The relaxation spectrum of asphalt mixture can be modeled by Gaussian function, where the size of the relaxation spectrum increases but the shape and position of the relaxation spectrum remain unchanged when the confining pressure increases.

Publication DOI:
Divisions: Engineering & Applied Sciences > Engineering Systems & Management
Engineering & Applied Sciences
Engineering & Applied Sciences > Aston Logistics and Systems Institute
Engineering & Applied Sciences > Aston Institute of Materials Research (AIMR)
Additional Information: © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Uncontrolled Keywords: Asphalt mixture,Complex modulus,Relaxation modulus,Uzan model,Stress dependence,Master curve
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Related URLs: http://www.scie ... 950061818325716 (Publisher URL)
PURE Output Type: Article
Published Date: 2018-12-30
Published Online Date: 2018-10-28
Accepted Date: 2018-10-19
Authors: Li, Linglin ( 0000-0001-8418-1491)
Li, Wenlong
Wang, Zhongyuan
Dong, Mansheng
Zhang, Yuqing ( 0000-0001-5825-0131)

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