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Title: Predictive Framework for Modeling Changes in Asphalt Mixture Moduli with Oxidative Aging
Accession Number: 01747762
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: This paper presents a predictive framework for asphalt mixture moduli as a function of aging time with two levels of sophistication. This work is built on the method currently implemented in Pavement mechanistic-empirical (ME) that uses an effective time/frequency concept based on time-aging superposition to model the effect of aging on a mixture’s modulus. Time-aging superposition implies that an asphalt mixture’s modulus mastercurves, corresponding to different aging levels, coincide when they are shifted horizontally on the log-frequency axis. This study improves the accuracy of the existing model by decoupling the time-temperature and time-aging shifts. The new framework also uses the binder dynamic shear modulus |G*| as an aging index instead of the viscosity, which is used in Pavement ME. The |G*| aging index is used to calculate an effective frequency at short-term aging (STA), which is then used in the asphalt mixture sigmoidal model to calculate the corresponding asphalt mixture modulus with aging. The pavement aging model introduced by NCHRP 09-54 predicts log |G*| at 64°C and 10 rad/s for a specific field-aged condition and pavement depth. The proposed framework can use the predicted log |G*| to predict the mixture’s corresponding dynamic modulus (|E*|) at that aging level and pavement depth. Level 1 of this framework requires characterizing the |G*| at STA and calibrating the NCHRP 09-54 pavement aging model as well as measuring the mixture |E*| at STA. Level 2 does not require any binder testing, providing relatively less accurate predictions but relieving some testing requirements.
Supplemental Notes: © National Academy of Sciences: Transportation Research Board 2020.
Language: English
Authors: Saleh, Nooralhuda FMocelin, DouglasYousefi Rad, FarhadCastorena, CassieUnderwood, B. ShaneKim, Y. RichardPagination: pp 79-93
Publication Date: 2020-10
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Volume: 2674 Media Type: Web
Features: References
(29)
TRT Terms: Identifier Terms: Subject Areas: Highways; Materials; Pavements
Files: TRIS, TRB, ATRI
Created Date: Aug 13 2020 3:04PM
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