Zhang Yan, Sun Yiren
City Institute, Dalian University of Technology, Dalian 116600, China.
School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China.
Materials (Basel). 2022 Jan 18;15(3):716. doi: 10.3390/ma15030716.
Prony series representations have been extensively applied to characterizing the time-domain linear viscoelastic (LVE) material functions for asphalt concrete. However, existing methods that can generate high-quality Prony series parameters (i.e., discrete spectra) mostly involve complicated programming algorithms, which poses a challenge for quick access of Prony series parameters. Also, very limited research has been devoted to establishing methods for simultaneously determining both retardation and relaxation spectra. To resolve these issues, this study presented a practical approach to fast acquiring high-quality Prony series parameters for both relaxation modulus and creep compliance of asphalt concrete by using the complex modulus test data. The approach adopts the analytical representations of the continuous relaxation and retardation spectra from the Havriliak-Negami (HN) and 2S2P1D complex modulus models to directly determine the discrete spectra, and the elastic constants, and , for both LVE modulus and compliance functions are further calculated by fitting the corresponding generalized Maxwell model representations to smoothed data from the storage modulus representations of the HN and 2S2P1D complex modulus models. In this way, all the procedures in the proposed method can be easily implemented in Microsoft Excel. The results showed that the HN and 2S2P1D models yielded slightly different continuous spectral patterns at shorter relaxation times and longer retardation times. However, at the region covered by the test data, the continuous spectra of the two complex modulus models were very close to each other. Thus, the two models can generate comparable Prony series parameters within the time or frequency range covered by the test data. Considering that the quality of the resulting Prony series parameters are closely related to the master curve models used for presmoothing, the HN and 2S2P1D models were compared with the conventional Sigmoidal model. Additionally, the Black diagram was recommended for examining the quality of the complex modulus test data before constructing the master curves.
普罗尼级数表示法已被广泛应用于表征沥青混凝土的时域线性粘弹性(LVE)材料函数。然而,现有的能够生成高质量普罗尼级数参数(即离散谱)的方法大多涉及复杂的编程算法,这给快速获取普罗尼级数参数带来了挑战。此外,致力于建立同时确定延迟谱和松弛谱的方法的研究非常有限。为了解决这些问题,本研究提出了一种实用方法,通过使用复模量试验数据快速获取沥青混凝土松弛模量和蠕变柔量的高质量普罗尼级数参数。该方法采用来自哈夫里利亚克 - 内加米(HN)和2S2P1D复模量模型的连续松弛谱和延迟谱的解析表示来直接确定离散谱,并通过将相应的广义麦克斯韦模型表示拟合到HN和2S2P1D复模量模型储能模量表示的平滑数据来进一步计算LVE模量和柔量函数的弹性常数 和 。通过这种方式,所提出方法中的所有程序都可以在Microsoft Excel中轻松实现。结果表明,HN模型和2S2P1D模型在较短的松弛时间和较长的延迟时间处产生的连续谱模式略有不同。然而,在试验数据覆盖的区域内,两个复模量模型的连续谱彼此非常接近。因此,这两个模型可以在试验数据覆盖的时间或频率范围内生成可比的普罗尼级数参数。考虑到所得普罗尼级数参数的质量与用于预平滑的主曲线模型密切相关,将HN模型和2S2P1D模型与传统的S形模型进行了比较。此外,建议在构建主曲线之前使用布莱克图来检验复模量试验数据的质量。