Data analysis programs on chemical and rheological properties of bitumen

The research objective of this thesis is multiscale evaluate the rejuvenation efficiency and mechanisms of rejuvenators in aged bitumen for high aged bitumen recycling. The data collection is mainly from experiments and molecular dynamics simulations. These files contain the data analysis programs on chemical and rheological properties of bitumen. In this dataset, the programs for linear viscoelastic master curve establishment, complex modulus area calculation, cracking width determination during time sweep fatigue test, Glover-Rowe damage parameter analysis are available. At the same time, the micromechanical models programming is involved, including the Burgers, Generalized Maxwell, Huet, Kelvin, and Maxwell. In addition, the guidelines for FTIR and GPC data analysis of bitumen are also provided here.

本学位论文的研究目标为：针对高老化程度沥青的回收利用场景，多尺度评估老化沥青中再生剂的再生效率与再生机理。本数据集的数据采集主要来源于实验与分子动力学模拟（molecular dynamics simulations）。本数据集收录了用于沥青化学特性与流变学特性分析的数据分析程序，涵盖线性粘弹性主曲线构建、复模量面积计算、时间扫描疲劳试验开裂宽度测定，以及Glover-Rowe损伤参数分析相关程序。同时，本数据集包含微观力学模型的编程实现代码，包括Burgers模型（Burgers）、广义Maxwell模型（Generalized Maxwell）、Huet模型（Huet）、Kelvin模型（Kelvin）与Maxwell模型（Maxwell）。此外，本数据集还提供了沥青傅里叶变换红外光谱（Fourier Transform Infrared Spectroscopy, FTIR）与凝胶渗透色谱（Gel Permeation Chromatography, GPC）的数据分析指南。