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Analysis of the Degree of Blending (DoB) of recycled asphalt mixtures with variation in mixing temperature, type, and RAP content.

Authors :
Gonçalves Luz, Priscila Maria Sousa
Silva, Ingridy Minervina
Melo Neto, Osires de Medeiros
Dias, Thiago Lucena
Figueiredo Lopes Lucena, Leda Christiane de
Sampaio, Raquel Menezes Bezerra
Source :
Construction & Building Materials. Jun2024, Vol. 431, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Presently, there is a significant increase in studies dedicated to the reuse of Reclaimed Asphalt Pavement (RAP) material obtained from the recycling of asphalt coatings. This procedure aims to reduce production costs and minimize environmental impacts. To carry out the reuse of this material, it is crucial to understand the interaction mechanisms between the aged binder of the RAP and the new binder. These mechanisms can be assessed through the Degree of Binder Activity (DoA) and the Degree of Blending (DoB). DoA represents the quantity of aged binder available for the new mixture, being an intrinsic property of each RAP. On the other hand, DoB indicates the degree of blending between the aged and new binders, being influenced by external factors such as mixing parameters, thus presenting a challenge in quantification. This study sought to establish a predictive model to quantify DoB based on Dynamic Modulus and Fourier-Transform Infrared Spectroscopy (FTIR) tests. These tests were conducted on mixtures containing four different RAPs, varying in different content levels and mixing temperatures. In each RAP, DoA was quantified, and a statistical analysis was performed to verify the significance of independent variables in dynamic modulus results. After this step, four modeling attempts were made, choosing the one that not only presented significant independent variables but also obtained the highest predicted R² value. The chosen model was validated and demonstrated small variations compared to DoB obtained by the generated equation. Thus, it is concluded that the DoB modeling conducted in this study highlights that mixing temperatures and RAP content influence factors such as DoA, dynamic modulus, FTIR, and consequently, DoB. Additionally, the practicality of the model was emphasized, as it successfully predicted DoB using a single mechanical and chemical test. • Predictive Model Redefines Asphalt Blending. • Sustainable Pavement: DoB Breakthrough. • Innovative Model Enhances Recycling Impact. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09500618
Volume :
431
Database :
Academic Search Index
Journal :
Construction & Building Materials
Publication Type :
Academic Journal
Accession number :
177484307
Full Text :
https://doi.org/10.1016/j.conbuildmat.2024.136577