将化学结构与沥青胶结料的线性和非线性特性联系起来

Reza Salehfard, Sadegh Yeganeh, D. Dalmazzo, B. S. Underwood, E. Santagata
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摘要

本文所述研究旨在确定沥青胶结料在线性粘弹性(LVE)和非线性粘弹性(NLVE)域中的化学成分与流变特性之间的关系。对两种不同贯入度等级的沥青胶结料进行了四种不同程度的老化处理,从而使其化学指纹发生变化。使用薄层色谱法(TLC)、傅立叶变换红外光谱法(FTIR)和凝胶渗透色谱法(GPC)分析了沥青胶结料的化学特性。频率扫描试验用于评估沥青胶结料的 LVE 行为,而多应力蠕变恢复(MSCR)试验则用于评估其 NLVE 特性。在 LVE 特性方面,根据克里斯滕森-安德森-马拉斯坦努(CAM)模型得出的流变指数(R)和零剪切粘度(ZSV)与傅里叶变换红外光谱和分子量分布(MWD)参数具有很高的相关性。此外,多分散指数(PDI)与基于 LVE 的参数之间的相关性更强。MSCR 测试结果表明,相对于不可恢复蠕变顺应性(Jnr)而言,恢复百分比(%R)对化学成分的敏感性主要归因于非线性程度。此外,据观察,在非线性域中,低分子量分子对恢复百分比的影响更大。最后,研究发现,在评估化学组成对应力和温度敏感性的影响时,Jnrslope 是比 Jnrdiff 更可靠的参数。
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Linking Chemical Structure to the Linear and Nonlinear Properties of Asphalt Binders
The study described in this paper aims to establish the relationship between the chemical composition and rheological properties of asphalt binders in both the linear viscoelastic (LVE) and nonlinear viscoelastic (NLVE) domains. Two asphalt binders with different penetration grades were subjected to four distinct aging treatments of varying severity, resulting in changes in their chemical fingerprints. Chemical characteristics of the asphalt binders were analyzed using thin-layer chromatography (TLC), Fourier Transform infrared spectroscopy (FTIR), and gel permeation chromatography (GPC). Frequency sweep tests were conducted to evaluate the LVE behavior of the asphalt binders, while multiple stress creep recovery (MSCR) tests were employed to assess their NLVE properties. With regard to the LVE properties, rheological index ( R) and zero shear viscosity (ZSV) derived from the Christensen-Anderson-Marasteanu (CAM) model exhibited high correlations with FTIR and molecular weight distribution (MWD) parameters. Additionally, the polydispersity index (PDI) displayed a stronger correlation with LVE-based parameters. Findings from the MSCR tests revealed that the sensitivity of the percentage recovery ( %R) to chemical composition, as opposed to nonrecoverable creep compliance ( Jnr), can be largely attributed to the degree of nonlinearity. Furthermore, it was observed that lower molecular weight molecules exert a greater influence on %R in the nonlinear domain. Finally, it was found that Jnrslope is a more reliable parameter than Jnrdiff for assessing the effects of chemical makeup on stress and temperature sensitivity.
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