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Alternative Procedure for Determination of Hot Mix Asphalt Creep Compliance

机译:确定热拌沥青蠕变合规性的替代程序

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Creep compliance function is one of the fundamental properties of viscoelastic materials. In asphalt research, creep compliance is used in the prediction of low-temperature cracking, which is a prevalent distress in asphalt pavements in northern parts of the United States and Canada. The thermal cracking prediction model included in the current version of the Mechanistic-Empirical Pavement Design Guide requires the creep compliance of hot mix asphalt (HMA) materials as a primary input. The current AASHTO procedure for determining creep compliance of HMA is based on the indirect tension (IDT) test. The IDT test is performed on relatively thick cylindrical specimens, which makes this test unsuitable for field cores from thin layers and construction lifts. In addition, thick specimens do not allow for investigation of the gradual aging that occurs in asphalt layers due to oxidation and volatilization. This paper outlines the procedure that uses the bending beam rheometer (BBR) as an alternative to the IDT test to determine the low-temperature creep compliance of HMA using thin beam specimens. Twenty different HMA mixtures are tested at three temperature levels using both the IDT and the BBR instruments. The analysis of test results is presented in two parts. First, the variability in creep compliance values obtained from the IDT and the BBR tests is discussed. Next, the artificial neural networks (ANNs) are trained to (1) predict IDT results from BBR measurements using design parameters of HMA mixture and testing temperature as the model inputs and (2) backcalculate HMA creep compliance from the binder creep compliance and vice versa. It is concluded that testing HMA beams can be used instead of IDT specimens for the low-temperature characterization of HMA mixtures, and the ANN can be successfully used for the backcalculation of the creep compliance measured by both IDT and BBR devices.
机译:蠕变柔度函数是粘弹性材料的基本特性之一。在沥青研究中,蠕变顺应性用于预测低温开裂,低温开裂是美国和加拿大北部沥青路面普遍存在的问题。当前版本的《机械-经验性路面设计指南》中包含的热裂纹预测模型要求将热混合沥青(HMA)材料的蠕变柔度作为主要输入。当前用于确定HMA蠕变柔度的AASHTO程序基于间接张力(IDT)测试。 IDT测试是在相对较厚的圆柱试样上进行的,这使得该测试不适用于薄层和施工升降机的现场岩心。另外,厚的试样不允许研究由于氧化和挥发而在沥青层中发生的逐渐老化。本文概述了使用弯曲束流变仪(BBR)代替IDT测试来确定使用薄梁样品的HMA的低温蠕变柔度的过程。使用IDT和BBR仪器,在三种温度水平下测试了20种不同的HMA混合物。测试结果的分析分为两个部分。首先,讨论了从IDT和BBR测试获得的蠕变柔量值的变异性。接下来,对人工神经网络(ANN)进行训练,以(1)使用HMA混合物的设计参数和测试温度作为模型输入来预测BBR测量的IDT结果,以及(2)从粘合剂的蠕变柔量反算HMA蠕变柔量,反之亦然。结论是,可以使用测试HMA光束代替IDT标本对HMA混合物进行低温表征,并且可以将ANN成功用于IDT和BBR装置测得的蠕变柔量的反算。

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