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Determination of the master curves of shear modulus and phase angle for asphalt binders with consideration of relaxation spectrum
International Journal of Pavement Engineering ( IF 3.4 ) Pub Date : 2021-04-06 , DOI: 10.1080/10298436.2021.1907578
Kinming Chan 1 , Yuhong Wang 1
Affiliation  

ABSTRACT

The master curves of complex shear modulus |G(ω)| and phase angle δ(ω) of asphalt binder provide its important rheological information. Although many studies have been performed to develop prediction models of |G(ω)|, the determination methods often focus on fitting them with experimental data of the modulus. The intrinsic relationships between |G(ω)|, δ(ω), relaxation spectrum H(τ) and relaxation modulus G(t) are seldom considered. Consequently, defects of the fitting arise naturally, due to overfitting issues from experimental errors and underfitting issues from bias in the approximation/empirical models. The mismatched master curves of |G(ω)|, and δ(ω) often lead to inconsistent H(τ) deduced from storage modulus G(ω) and loss modulus G(ω), and also inaccurate G(t) calculated from the resultant H(τ). This study proposes a new method to determine the master curves of |G(ω)| and δ(ω), which uses a joint optimisation to simultaneously minimise errors between the data and the models of |G(ω)| and δ(ω), together with the differences between H(τ)’s obtained from G(ω) and G(ω) as a penalty of the loss function. Two asphalt binders are used to assess the newly developed method and existing ones. Cross-validation based on stress-relaxation test indicates that the new method is more robust and accurate.



中文翻译:

考虑弛豫谱的沥青结合料剪切模量和相角主曲线的确定

摘要

复剪切模量主曲线|G*(ω)|和相位角δ(ω)沥青结合料的含量提供了其重要的流变学信息。尽管已经进行了许多研究来开发预测模型|G*(ω)|, 确定方法往往侧重于将它们与模量的实验数据拟合。之间的内在关系|G*(ω)|,δ(ω), 弛豫谱H(τ)和松弛模量G()很少考虑。因此,由于实验误差的过拟合问题和近似/经验模型中的偏差导致的欠拟合问题,拟合的缺陷自然而然地出现。主曲线不匹配|G*(ω)|, 和δ(ω)经常导致不一致H(τ)从储能模量推导出来G'(ω)和损耗模量G''(ω),而且也不准确G()从结果计算H(τ). 本研究提出了一种新的方法来确定主曲线|G*(ω)|δ(ω),它使用联合优化来同时最小化数据和模型之间的误差|G*(ω)|δ(ω), 以及两者之间的差异H(τ)来自G'(ω)G''(ω)作为损失函数的惩罚。两种沥青粘合剂用于评估新开发的方法和现有方法。基于应力松弛测试的交叉验证表明新方法更加稳健和准确。

更新日期:2021-04-06
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