Mechanistic–Empirical Performance Evaluation of Cold Asphalt Mixtures Produced with Different RAP Contents

The reuse of milled pavement material, known as RAP (Reclaimed Asphalt Pavement), represents one of the major current challenges in highway engineering worldwide. There is no doubt that the most valuable application of this residue is its use in the production of new hot asphalt mixtures, incorporating the highest possible RAP content, a process that requires adaptations in residue processing at asphalt plants. In Brazil, the RAP content added to these mixtures is limited to a maximum of 25%. Consequently, alternative applications have gained prominence in the country to increase RAP utilization in pavement engineering, such as its use in cold premixed asphalt mixtures. This study aimed to evaluate the performance of cold asphalt mixtures containing different RAP contents through mechanistic-empirical analyses of a reference pavement structure, using the modelling framework adopted in the Brazilian Asphalt Pavement Design Method (MeDiNa). After Marshall mix design and volumetric and mechanical characterization of mixtures containing 0%, 10%, 20%, 30%, and 40% RAP, stiffness and fatigue parameters were used to estimate the evolution of cracked area in the reference pavement, with each mixture applied as the surface layer under different traffic levels. The results demonstrated that pavement performance improved for all RAP contents evaluated compared to the mixture without RAP, with the mixture containing 30% RAP showing the best overall performance.

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Publication Details

Journal
Infrastructures
Published
2026-03-03
DOI
https://doi.org/10.3390/infrastructures11030081
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
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article

Mechanistic–Empirical Performance Evaluation of Cold Asphalt Mixtures Produced with Different RAP Contents

Acbal Rucas Andrade Achy, Elane Donato Santos, Weiner Gustavo Silva Costa, Mario Sérgio de Souza Almeida et al.
Infrastructures
Asphalt Pavement Performance Evaluation
article

Mechanistic–Empirical Performance Evaluation of Cold Asphalt Mixtures Produced with Different RAP Contents

Acbal Rucas Andrade Achy, Elane Donato Santos, Weiner Gustavo Silva Costa, Mario Sérgio de Souza Almeida, Paulo Ricardo Lemos de Santana, Fernando Santos Do Amor Divino, Luana Pereira de Jesus
article en

Abstract

The reuse of milled pavement material, known as RAP (Reclaimed Asphalt Pavement), represents one of the major current challenges in highway engineering worldwide. There is no doubt that the most valuable application of this residue is its use in the production of new hot asphalt mixtures, incorporating the highest possible RAP content, a process that requires adaptations in residue processing at asphalt plants. In Brazil, the RAP content added to these mixtures is limited to a maximum of 25%. Consequently, alternative applications have gained prominence in the country to increase RAP utilization in pavement engineering, such as its use in cold premixed asphalt mixtures. This study aimed to evaluate the performance of cold asphalt mixtures containing different RAP contents through mechanistic-empirical analyses of a reference pavement structure, using the modelling framework adopted in the Brazilian Asphalt Pavement Design Method (MeDiNa). After Marshall mix design and volumetric and mechanical characterization of mixtures containing 0%, 10%, 20%, 30%, and 40% RAP, stiffness and fatigue parameters were used to estimate the evolution of cracked area in the reference pavement, with each mixture applied as the surface layer under different traffic levels. The results demonstrated that pavement performance improved for all RAP contents evaluated compared to the mixture without RAP, with the mixture containing 30% RAP showing the best overall performance.

InfrastructuresVol. 11(3)
Universidade Federal do Recôncavo da Bahia (BR), Universidade Estadual de Feira de Santana (BR), National Transport University (UA)
Openalex Percentile: Top 37%
Asphalt Pavement Performance Evaluation
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