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Phase angle master curves of sulfur‑extended asphalt modified with recycled polyethylene waste

机译:用再循环聚乙烯废物改性硫 - 扩展沥青的相角毂曲线

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摘要

Master curves (MC) of mixtures and asphalt binders are typically implemented in the linear viscoelastic range for assessing their rheological behavior. Although there are several theoretical models to represent the MC of mixtures and asphalt binders, their performance is variable. The use of MC to model the binder's phase angle has received less attention compared to the MC of the complex modulus. Thus, this paper investigates the possibility of using several predictive equations to represent the phase angle (delta) of neat asphalt (virgin asphalt and sulfur-extended asphalt, SEA) and modified asphalt [recycled polyethylene-modified asphalt and recycled polyethylene-modified SEA (PMSEA)]. The investigated models include the standard sigmoidal (SS) model, generalized logistic sigmoidal (GLS) model, Christensen (CA) model, and Anderson and Marasteanu (CAM) model. The viscoelastic properties of these binders are determined through a dynamic shear rheometer spanning a broad variety of temperatures and frequencies using dynamic mechanical analysis (DMA). The results show that most of the investigated models can reasonably predict neat asphalts' viscoelastic behavior in terms of delta. However, the accuracy of the investigated models becomes relatively lower for the modified binders, especially in the long-term aged condition. The goodness-of-fit statistics of the investigated models show that the GLS model is the most accurate mode, followed by the SS, CAM, and then the CA model.
机译:混合物和沥青粘合剂的主曲线(MC)通常在线性粘弹性范围内实施,以评估其流变行为。尽管有几种理论模型来代表混合物和沥青粘合剂的MC,但它们的性能是可变的。与复杂模量的MC相比,使用MC以模拟粘合剂的相位角的关注。因此,本文研究了使用几种预测方程来代表整齐沥青(原始沥青和硫 - 扩展沥青,海)和改性沥青[再循环聚乙烯改性沥青和再循环聚乙烯改性海洋(重新加入聚乙烯改性海洋)的相角(Delta)的可能性。 PMSEA)]。调查的模型包括标准Sigmoidal(SS)模型,广义物流SIGMOID(GLS)模型,Christensen(CA)模型和Anderson和Marasteanu(CAM)模型。这些粘合剂的粘弹性通过使用动态机械分析(DMA)跨越各种温度和频率的动态剪切流变仪确定。结果表明,大多数调查模型可以合理地预测δ在δ方面的粘弹性行为。然而,改性粘合剂的研究模型的准确性变得相对较低,特别是在长期老化条件下。调查模型的美好统计数据表明,GLS模型是最准确的模式,其次是SS,CAM,然后是CA型号。

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