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用于温拌橡胶粉改性沥青混合料粘弹性表征的离散与连续延迟及松弛谱方法

The Discrete and Continuous Retardation and Relaxation Spectrum Method for Viscoelastic Characterization of Warm Mix Crumb Rubber-Modified Asphalt Mixtures.

作者信息

Zhang Fei, Wang Lan, Li Chao, Xing Yongming

机构信息

School of Science, Inner Mongolia University of Technology, Hohhot 010040, China.

School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010040, China.

出版信息

Materials (Basel). 2020 Aug 23;13(17):3723. doi: 10.3390/ma13173723.

Abstract

To study the linear viscoelastic (LVE) of crumb rubber-modified asphalt mixtures before and after the warm mix additive was added methods of obtaining the discrete and continuous spectrum are presented. Besides, the relaxation modulus and creep compliance are constructed from the discrete and continuous spectrum, respectively. The discrete spectrum of asphalt mixtures can be obtained from dynamic modulus test results according to the generalized Maxwell model (GMM) and the generalized Kelvin model (GKM). Similarly, the continuous spectrum of asphalt mixtures can be obtained from the dynamic modulus test data via the inverse integral transformation. In this paper, the test procedure for all specimens was ensured to be completed in the LVE range. The results show that the discrete spectrum and the continuous spectrum have similar shapes, but the magnitude and position of the spectrum peaks is different. The continuous spectrum can be considered as the limiting case of the discrete spectrum. The relaxation modulus and creep compliance constructed by the discrete and continuous spectrum are almost indistinguishable in the reduced time range of 10 s-10 s. However, there are more significant errors outside the time range, and the maximum error is up to 55%.

摘要

为研究温拌添加剂添加前后橡胶粉改性沥青混合料的线性粘弹性(LVE),介绍了获取离散谱和连续谱的方法。此外,分别从离散谱和连续谱构建了松弛模量和蠕变柔量。沥青混合料的离散谱可根据广义麦克斯韦模型(GMM)和广义开尔文模型(GKM)从动态模量试验结果中获得。类似地,沥青混合料的连续谱可通过逆积分变换从动态模量试验数据中获得。本文确保所有试件的试验过程在LVE范围内完成。结果表明,离散谱和连续谱形状相似,但谱峰的大小和位置不同。连续谱可视为离散谱的极限情况。由离散谱和连续谱构建的松弛模量和蠕变柔量在10 s - 10 s的缩减时间范围内几乎无法区分。然而,在该时间范围之外存在更显著的误差,最大误差高达55%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52a0/7503532/dcff2926f1e5/materials-13-03723-g0A1.jpg

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