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.

本论文的研究目标是从多尺度层面评估再生剂在老化沥青中的再生效率与作用机制，旨在实现高老化沥青的循环利用。数据采集主要来源于实验与分子动力学模拟（molecular dynamics simulations）。本数据集包含针对沥青化学与流变特性的数据分析程序。该数据集提供以下程序：线性粘弹性主曲线（linear viscoelastic master curve）构建程序、复数模量面积（complex modulus area）计算程序、时间扫描疲劳试验（time sweep fatigue test）过程中裂缝宽度测定程序、以及Glover-Rowe损伤参数（Glover-Rowe damage parameter）分析程序。同时，数据集还包含微观力学模型（micromechanical models）的编程内容，涵盖Burgers模型、广义Maxwell模型、Huet模型、Kelvin模型及Maxwell模型。此外，本数据集还提供沥青的傅里叶变换红外光谱（FTIR）与凝胶渗透色谱（GPC）数据分析指南。