Laboratory investigation of fatigue parameters characteristics of aging asphalt mixtures: A dissipated energy approach

Songtao Lv, Changsha University of Science and Technology
Xinghai Peng, Changsha University of Science and Technology
Chaochao Liu, Changsha University of Science and Technology
Dongdong Ge, Michigan Technological University
Minmin Tang, Changsha University of Science and Technology
Jianlong Zheng, Changsha University of Science and Technology

© 2019 Elsevier Ltd. Publisher’s version of record: https://doi.org/10.1016/j.conbuildmat.2019.116972

Abstract

The objective of this paper is to reveal the effects of aging on the fatigue performance of asphalt mixture based on variation patterns of fatigue parameters with aging degrees. Specimens with different aging degrees were prepared by modified SHRP's Long-Term-Oven Aging (LTOA) test method, in which five different aging durations, included 0, 1, 3, 5, 7 days, were adopted to substitute the fixed 5 days. The fatigue parameters, including stiffness modulus, fatigue life, phase angle, Plateau Value (PV), and cumulative dissipation energy of specimens with different aging degrees under different stress ratios were obtained by the tensile fatigue test. The relationship of fatigue parameters with aging degrees and stress ratios were established. It could be observed from the results that the aging degree and stress ratio had dramatic influences on the fatigue performance of asphalt mixture. Sensitivity analysis showed that aging had the most significant effect on the initial stiffness modulus of asphalt mixture, and should be used as a control index in fatigue design. Statistical models of the relation between (PV) and fatigue life (Nf) established by the Rate of Dissipated Energy Change (RDEC) approach has an effective correlation. The Plateau Value model eliminated the effects of aging degrees and reflected the uniqueness of material parameters. Also, it could provide novel ideas for effective prediction of the fatigue life of asphalt mixtures with different aging degrees based on plateau value.