Chemical characterisation of bitumen type and ageing state based on FTIR spectroscopy and discriminant analysis integrated with variable selection methods

Lili Ma*, Aikaterini Varveri, Ruxin Jing, Sandra Erkens

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)
225 Downloads (Pure)

Abstract

The chemical characterization of bitumen type and ageing state are fundamental in determining structural and mechanical properties of bitumen. This work aims to classify various bitumen types at different ageing states and to identify the primary chemical differences relevant to the classification. Fourier transform infrared (FTIR) spectral data of eight bitumen types at five ageing states were analyzed using a chemometric procedure that incorporates principal component analysis (PCA), linear discriminant analysis (LDA) models, variable selection methods. The models presented results of high accuracy in differentiating bitumen type and ageing state. The results show that the spectral regions that describe the aliphatic and aromatic bonds are critical to the identification of bitumen types. The chemical changes due to bitumen ageing are mainly revealed at the region of 1800–900 cm-1. This chemometric method is instructive for the characterization of chemical bitumen properties.

Original languageEnglish
Pages (from-to)506-520
Number of pages15
JournalRoad Materials and Pavement Design
Volume24
Issue numberS1
DOIs
Publication statusPublished - 2023

Funding

LM acknowledges support from the China Scholarship Council (CSC). AV acknowledges NWO-AES (Dutch Research Council-Applied and Engineering Sciences) for a Talent Programme VENI grant for the project ‘A multiscale approach towards future road infrastructure: How to design sustainable paving materials?’.

Keywords

  • ageing
  • Bitumen
  • FTIR
  • multivariate analysis
  • source
  • variable selection

Fingerprint

Dive into the research topics of 'Chemical characterisation of bitumen type and ageing state based on FTIR spectroscopy and discriminant analysis integrated with variable selection methods'. Together they form a unique fingerprint.

Cite this