The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/4ad76f10-98b5-45f1-ae2a-6282aca69e00

Ren, Shisong; Liu, Xueyan; Erkens, Sandra (2023): Data analysis programs on chemical and rheological properties of bitumen. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4ad76f10-98b5-45f1-ae2a-6282aca69e00.v1

Dataset

• Civil Engineering
• Materials Engineering
• Engineering

Bitumen chemistry and rheology, Dynamic shear rheometer (DSR), Fourier-transform infrared spectroscopy (FTIR), Pavement materials

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Shisong Ren , Xueyan Liu , Sandra Erkens

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.

• 2023-11-20 first online, published, posted

4TU.ResearchData

*.xlsx

Aging and rejuvenation effects on the rheological response and chemical parameters of bitumen

• https://doi.org/10.1016/j.matdes.2022.111141
• https://doi.org/10.1016/j.ijfatigue.2023.107753
• https://doi.org/10.1016/j.molliq.2022.120363
• https://doi.org/10.1016/j.jclepro.2023.139092
• https://doi.org/10.1016/j.fuel.2022.124550
• https://doi.org/10.1016/j.matdes.2023.111619
• https://doi.org/10.1016/j.fuel.2022.125382
• https://doi.org/10.1016/j.molliq.2022.119463
• https://doi.org/10.1080/10298436.2021.2024188
• https://doi.org/10.1016/j.cscm.2023.e02522

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Engineering Structures