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

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...

Full description

Saved in:

Bibliographic Details
Published in:	Construction & building materials Vol. 431; p. 136577
Main 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
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 14-06-2024
Subjects:	Dynamic modulus FTIR Predictive model Reclaimed asphalt pavement Sustainability Dynamic modulus Reclaimed asphalt pavement FTIR Sustainability Predictive model
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	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.
ISSN:	0950-0618 1879-0526
DOI:	10.1016/j.conbuildmat.2024.136577