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contributor authorXinsheng Li
contributor authorJunan Shen
contributor authorPengcheng Shi
contributor authorHong Zhu
date accessioned2022-01-30T19:52:34Z
date available2022-01-30T19:52:34Z
date issued2020
identifier other%28ASCE%29MT.1943-5533.0002983.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266126
description abstractIt is important to investigate the aging mechanism of asphalt binders. To simulate the aging of the binders in asphalt pavements, three mixture gradations of Stone Mastic Asphalt (SMA)-13, Asphalt Concrete (AC)-13, and Superpave-13 were first aged in an accelerated weathering machine (AWM) for four durations of 0 (as control), 1,000, 2,000, and 3,000 h. Then, aged asphalt binders were recovered from the weathered asphalt mixtures by the Abson method. The nanosized properties of morphology, adhesion, and elastic modulus of the recovered asphalt binders were measured by atomic force microscopy (AFM). Nonlinear models were used to fit the relationships between aging durations and each of the three properties: morphology, adhesion, and modulus of elasticity. The results indicated that (1) as the weathering duration increased, the roughness of morphology decreased while those of both adhesion and elastic modulus increased; (2) nonlinear models fitted well the nanosized properties of morphology, adhesion, and elastic modulus; and (3) SMA-13 performed the best, and Superpave-13 barely outperformed AC-13 with regard to aging resistance.
publisherASCE
titleNonlinear Modeling of Nanoscaled Properties of Asphalt Binders Recovered from Weathered Asphalt Mixtures
typeJournal Paper
journal volume32
journal issue1
journal titleJournal of Materials in Civil Engineering
identifier doi10.1061/(ASCE)MT.1943-5533.0002983
page04019340
treeJournal of Materials in Civil Engineering:;2020:;Volume ( 032 ):;issue: 001
contenttypeFulltext


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