首页> 外文期刊>Journal of materials in civil engineering >High-Temperature Rheological Characteristics of Asphalt Binder Incorporated with Graphene Oxide and Predicting Its Rutting Potential Using Response Surface Method
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High-Temperature Rheological Characteristics of Asphalt Binder Incorporated with Graphene Oxide and Predicting Its Rutting Potential Using Response Surface Method

机译:沥青粘合剂的高温流变特性掺入石墨烯氧化物,并使用响应面法预测其车辙潜力

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摘要

Rutting is one of the most common types of asphalt pavement failures. This study has investigated the high temperature performance of asphalt binders incorporating graphene oxide (GO). To this end, frequency sweep, temperature sweep, and multiple stress creep recovery (MSCR) tests using a dynamic shear rheometer (DSR) were conducted on the control and GO-modified asphalt binders. Response surface methodology (RSM) based on a statistical model was used to investigate the interactive effects of three parameters, namely temperature, GO content, and loading frequency, on the rutting performance of the GO-modified asphalt and develop predictive mathematical models. Atomic force microscopy (AFM) was used to observe the microstructure of the binders. The results of the rheological tests showed that GO considerably enhanced the high temperature performance of the asphalt binder. The MSCR test results revealed that in comparison with the control asphalt, the GO modified binders presented lower nonrecoverable creep compliance (J_(nr)) and higher percent recovery (R) values, showing a significant contribution of the GO to rutting resistance. The statistical analysis showed that the selected input variables exhibited a notable impact on the complex modulus (G*) and rutting behavior (G*/sinδ) of the asphalt, and quadratic models were proposed for predicting the rutting potential. Finally, the AFM analysis demonstrated that GO was perfectly distributed in the asphalt matrix.
机译:Rutting是最常见的沥青路面故障类型之一。本研究研究了掺入石墨烯氧化物(GO)的沥青粘合剂的高温性能。在对照和Go-Demified沥青粘合剂上进行使用动态剪切流变仪(DSR)的频率扫描,温度扫描和多重应力蠕变恢复(MSCR)测试。基于统计模型的响应面方法(RSM)用于研究三个参数,即温度,GO内容和装载频率的交互式效果,对GO-DECRIFIED沥青的轨道性能并开发预测数学模型。原子力显微镜(AFM)用于观察粘合剂的微观结构。流变测试的结果表明,显着提高了沥青粘合剂的高温性能。 MSCR试验结果表明,与对照沥青相比,GO改性粘合剂呈现出较低的不可恢复蠕变顺应性(J_(NR))和更高百分比的回收率(R)值,显示出转向车辙抗性的显着贡献。统计分析表明,所选择的输入变量对沥青的复杂模量(G *)和车辙行为(G * /SINδ)表现出显着的影响,并且提出了用于预测车辙潜力的二次模型。最后,AFM分析表明,GO完全分布在沥青矩阵中。

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