Abstract

More robust methods for predicting the performance of asphalt mixtures in the field have been established in recent years. However, the tests carried out to obtain the data generally make use of samples compacted in the laboratory with diameters that make it impossible to extract samples from field layers. This problem can be solved with the use of small samples with a diameter smaller than the compaction thicknesses used in the field. Although characterization tests of asphalt mixtures with small samples have already been performed in the literature, few studies have been carried out, thus denoting the need for more tests for a larger number of mixtures. This research aims to verify the behavior of smaller samples (38×110  mm) and to evaluate if they can provide the same linear viscoelastic (LVE) analyzed from the master curves and the rheological Model 2S2P1D (two springs, two parabolic elements, and one dashpot), the same fatigue characterization, and the same performance over time results for fatigue damage by pavement simulation in FlexPAVE software. The observation of LVE domain suggests a great consistency between the results obtained for the two test geometries. The same was observed for fatigue analysis based in the simplified viscoelastic continuum damage (S-VECD) model. The accumulated fatigue damage curves along the traffic and the cracked area (CA%) prediction obtained by FlexPAVE showed that the characterization by standard and small samples lead to concordant results. The small-scale specimen geometry tested in this research is an accurate and alternative method to full-size samples, with the ability to characterize the LVE behavior, the fatigue phenomenon, and performance simulations in the context of forensic analysis or other investigations that require the use of samples extracted from pavements in field.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to thank ANP/Petrobras, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for their financial support and grants, and to Professor Dr. Richard Kim and the research group under his advisement in North Carolina State University (NSCU) for the license to use the FlexPAVE software.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 35Issue 9September 2023

History

Received: Sep 7, 2022
Accepted: Feb 9, 2023
Published online: Jun 24, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 24, 2023

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Ph.D. Student, Dept. of Transportation, Federal Univ. of Santa Maria, Roraima Ave., 1000, Santa Maria, RS 97105-220, Brazil (corresponding author). ORCID: https://orcid.org/0000-0003-2269-7788. Email: [email protected]
Full Professor, Federal Univ. of Santa Maria–Campus Cachoeira do Sul, Hwy. Taufik Germano, 3013–Passo D’Areia, Cachoeira do Sul 96503-205, Brazil. ORCID: https://orcid.org/0000-0001-8171-4192. Email: [email protected]
Bruno de Souza Chaves [email protected]
Dept. of Transportation, Federal Univ. of Santa Maria, Roraima Ave., 1000, Santa Maria, RS 97105-220, Brazil. Email: [email protected]
Master’s Student, Dept. of Transportation, Federal Univ. of Santa Maria, Roraima Ave., 1000, Santa Maria, RS 97105-220, Brazil. ORCID: https://orcid.org/0000-0002-2008-2758. Email: [email protected]
Pedro O. B. Almeida Jr., Ph.D. [email protected]
Dept. of Transportation, Federal Univ. of Santa Maria, Roraima Ave., 1000, Santa Maria, RS 97105-220, Brazil. Email: [email protected]
Ph.D. Student, Dept. of Transportation, Federal Univ. of Santa Maria, Roraima Ave., 1000, Santa Maria, RS 97105-220, Brazil. ORCID: https://orcid.org/0000-0003-4242-4453. Email: [email protected]
Luciano Pivoto Specht [email protected]
Full Professor, Dept. of Transportation, Federal Univ. of Santa Maria, Roraima Ave., 1000, Santa Maria, RS 97105-220, Brazil. Email: [email protected]
Full Professor, Dept. of Transportation, Federal Univ. of Santa Maria, Roraima Ave., 1000, Santa Maria, RS 97105-220, Brazil. ORCID: https://orcid.org/0000-0002-7200-7813. Email: [email protected]

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