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Machine Learning Technique for Interpretation of Infrared Spectra Measured on Polymer Modified Binders

  • Adam ZofkaEmail author
  • Krzysztof Błażejowski
Conference paper
Part of the RILEM Bookseries book series (RILEM, volume 20)

Abstract

Demand and supply of polymer modified binders (PMB) have significantly increased in the past 20 years. These binders are intended to ensure long-lasting performance of asphalt pavements. Depending on the type and magnitude of modification, PMBs can be engineer to maintain superior mechanical properties over a wide range of service temperatures. PMBs can be also used to enhance pavement surface properties such as texture, noise absorption and skid resistance, and they can be applied in the modern surface treatments for pavement maintenance. This paper utilizes one of the machine learning techniques, namely neural network, in order to classify PMBs based on their infrared (IR) signature. Such a classification is particularly justifiable when dealing with highly modified asphalt (HiMA) which is a premium PMB material with a polymer content of at least 7.5 wt%. This paper demonstrates IR measurements and interpretation of 22 different unaged asphalt binders from two producers. Based on the advanced analysis it is shown that machine learning technique can very accurately differentiate between various asphalt binder groups.

Keywords

Polymer modified binder Machine learning Highly modified asphalt Fourier transform infrared spectroscopy 

References

  1. Bernier, A., Zofka, A., Yut, I.: Laboratory evaluation of rutting susceptibility of polymer-modified asphalt mixtures containing recycled pavements. Constr. Build. Mater. 31, 58–66 (2012)CrossRefGoogle Scholar
  2. Błażejowski, K., Wójcik-Wiśniewska, M.: Highly modified bitumen in perpetual pavements. In: Czech National Asphalt Conference Asfaltove Vozovky, Ceske Budejovice, 24–25 November 2015Google Scholar
  3. Błażejowski, K., Wójcik-Wiśniewska, M., Peciakowski, H., Olszacki, J.: The performance of a highly modified asphalt for long-lasting asphalt pavements. Transp. Res. Procedia 14, 679–684 (2016). Transport Research Arena, Warsaw 2016CrossRefGoogle Scholar
  4. Kluttz, R., Richard Willis, J., Molenaar, A., Scarpas, T., Scholten, E.: Fatigue performance of highly modified asphalt mixtures in laboratory and field environment. In: 7th RILEM International Conference on Cracking in Pavements (2012)Google Scholar
  5. Kluttz, R.Q., Molenaar, A.A.A., van de Ven, M.F.C., Poot, M.R., Liu, X., Scarpas, A., Scholten, E.J.: Modified base courses for reduced pavement thickness and improved longevity. In: Proceedings of the International Conference on Perpetual Pavement, Columbus, OH, October 2009Google Scholar
  6. Kluttz, R.Q., Jellema, E., Woldekidan, M.F., Huurman, M.: Highly modified binder for prevention of winter damage in OGFCs. Am. Soc. Civ. Eng. (2013)Google Scholar
  7. Paliukaite, M., Vaitkus, A., Zofka, A.: Influence of bitumen chemical composition and ageing on pavement performance. Balt. J. Road Bridg. Eng. 10(1), 97–104 (2015)CrossRefGoogle Scholar
  8. Timm, D.H., Robbins, M.M., Willis, J.R., Tran, N., Taylor, A.J.: Field and Laboratory Study of High-Polymer Mixtures at the NCAT Test Track. Draft Report, National Center for Asphalt Technology, Auburn University (2013)Google Scholar
  9. Timm, D., Powell, R., Willis, J., Kluttz, R.: Pavement rehabilitation using high polymer asphalt mix. In: Proceedings of the 91st Annual Transportation Research Board, Washington, DC (2012)Google Scholar
  10. Yut, I., Zofka, A.: Attenuated total reflection fourier transform infrared spectroscopy of oxidized polymer-modified bitumens. Appl. Spectrosc. 65(7), 765–770 (2011)CrossRefGoogle Scholar
  11. Yut, I., Zofka, A.: Correlation between rheology and chemical composition of aged polymer-modified asphalts. Constr. Build. Mater. 62, 109–117 (2014)CrossRefGoogle Scholar
  12. Zofka, A., Yut, I.: Prediction of Asphalt Creep Compliance Using Artificial Neural Networks. Arch. Civ. Eng. 58(2), 153–173 (2012).  https://doi.org/10.2478/v.10169-012-0009-9CrossRefGoogle Scholar
  13. Zofka, A., Maliszewska, D., Maliszewski, M., Boratynski, J.: Application of FTIR ATR method to examine the polymer content in the modified bitumen and to assess susceptibility of bitumen to ageing. Roads and Bridges - Drogi i Mosty 14(3), 163–174 (2015)Google Scholar

Copyright information

© RILEM 2019

Authors and Affiliations

  1. 1.Road and Bridge Research Institute (IBDiM)WarsawPoland
  2. 2.ORLEN AsfaltPłockPoland

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