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.

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Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Logistics and Systems Institute
College of Engineering & Physical 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
Publication ISSN: 0950-0618
Last Modified: 01 Nov 2023 08:07
Date Deposited: 29 Oct 2018 08:47
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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 (ORCID Profile 0000-0001-8418-1491)
Li, Wenlong
Wang, Zhongyuan
Dong, Mansheng
Zhang, Yuqing (ORCID Profile 0000-0001-5825-0131)

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