Published: 2023-12-30

Prediction of irreversible susceptibility and elastic recurrence of asphalts modified with waste plastomers in MSCR study

Grzegorz Mazurek , Przemysław Buczyński , Marek Iwański , Artur Kowalczyk , Marcin Podsiadło

Abstract

This paper evaluates the possibility of predicting the microstructure characteristics of the irreversible part of the susceptibility modulus and the percentage recurrence in the MSCR test by means of basic asphalt properties. Seven variables were controlled in the research. Two types of asphalt 20/30 and 70/100 and two types of waste plastomer were used for the research. The entire research process was governed by the Plackett-Burman plan. The results were enriched by microstructure analysis of the waste plastomer dispersion in asphalt. As a result, it was found that the effect of microstructure on the irreversible part of the susceptibility modulus and percentage recurrence was not significant. In contrast, the mixing process significantly influenced the dispersion state of the plastomer particles in the asphalt. With the MARS technique, it has been possible to relate basic asphalt characteristics such as penetration, softening temperature, fracture temperature and dynamic viscosity to the irreversible part of the susceptibility modulus and percentage recurrence with efficiency expressed by a determination coefficient of R2=99%. It was also pointed out that the type of plastomer plays a significant role in shaping the percentage of asphalt conversion.

Keywords:

asphalt modification, waste plastomer, MARS, polymer morphology, recycling

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.

Download files

PDF

Citation rules

Mazurek, G., Buczyński, P., Iwański, M., Kowalczyk, A., & Podsiadło, M. (2023). Prediction of irreversible susceptibility and elastic recurrence of asphalts modified with waste plastomers in MSCR study. Roads and Bridges - Drogi I Mosty, 22(4), 533–548. https://doi.org/10.7409/RABDIM.023.034

Cited by / Share

Licence


This website uses cookies for proper operation, in order to use the portal fully you must accept cookies.