Using a hybrid multi-criteria analysis method to classify hot mix asphalt regarding permanent deformation

Authors

  • MSc. Victória Nunes-Ramos Federal University of Santa Maria
  • Eng. Jéssica da Silva Vieira Federal University of Santa Maria
  • PhD. Alejandro Ruiz-Padillo Federal University of Santa Maria
  • PhD. Luciano Pivoto Specht Federal University of Santa Maria

DOI:

https://doi.org/10.58922/transportes.v33.e3038

Keywords:

Asphalt materials, Wheel track rutting, Sorting, Hybrid multi-criteria decision method, TOPSIS, SMART

Abstract

The new Brazilian pavement design method (MeDiNa) defines the Flow Number as an indicator of permanent deformation of asphalt mixtures, which is adapted to traffic by trial and error, as there is no established combination of parameters in the literature for its prediction. In this sense, multi-criteria decision-making support methodologies can help optimize the mix composition process by simultaneously combining simplified indicators. Therefore, this study used a hybrid multi-criteria method (SMART and TOPSIS) to classify asphalt mixtures by combining parameters obtained in the design of these materials, comparing them with the ranking found by Flow Number. Based on the relative importance assigned by a panel of experts, it was found that it is possible to obtain a ranking statistically similar to that of Flow Number using only data from softening point and viscosity of the binder, granulometric range, shape index of the aggregate fraction #3/4 and binder content. The method is more effective for traffic of less than 6.8E+07 repetitions of standard axis under normal conditions. Therefore, the research has shown that it is feasible to simplify the design of mixtures for surfacing flexible pavements by filtering out the mixtures sent for more laborious tests such as Flow Number, limiting the number of tests to only the best-placed test mixtures. It also makes it possible to rationalize the design of low-traffic roads where there are no resources to carry out the test proposed by MeDiNa, helping designers to make decisions based on simplified indicators.

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Author Biographies

MSc. Victória Nunes-Ramos, Federal University of Santa Maria

Civil Engineer with a Master's degree in Geotechnics and Paving from the Federal University of Santa Maria. She was a volunteer in the Paving and Road Safety Studies and Research Group (GEPPASV), in which she also received a Scientific Initiation scholarship from FAPERGS (2018-2019), and an internship from Petrobras (2020), working on laboratory and field research into the effect of the rheology of asphalt mixtures on pavement performance and its applications in the new Brazilian Design Method, as well as the study of asphalt mixtures with different binders. She was also a FIEX fellow in the urban mobility extension project at the Mobility and Logistics Laboratory (LAMOT), and a research volunteer at the same laboratory (2020-2021). She completed her undergraduate thesis at GEPPASV, studying the effect of adding high-density polyethylene to conventional asphalt binders. She is currently a PhD student in the Civil Engineering Postgraduate Program at UFSM, working on a proposal for the environmental labeling of asphalt mixtures.

Eng. Jéssica da Silva Vieira, Federal University of Santa Maria

Currently a master's student in the Postgraduate Program in Civil Engineering (PPGEC/UFSM). Civil Engineer graduated from the Federal University of Santa Maria. Participant in the Group of Studies and Research in Paving and Road Safety (GEPPASV), where she collaborates in the design of the behavior of geotechnical and paving materials. She was awarded a PIBIC/CNPq Scientific Initiation scholarship (2020-2021) at the Mobility and Logistics Laboratory (LAMOT), and was also a volunteer member of the Mobility Study Group (GEMOB) at the Technology Center (2017-2019). She was a former member of Renove Júnior - Soluções Ambientais (2017-2019), a junior engineering company linked to the Sanitary and Environmental Engineering course at UFSM. Six-week volunteer exchange experience in Romania in 2017, teaching English in public schools through AIESEC (a non-profit organization).

PhD. Alejandro Ruiz-Padillo, Federal University of Santa Maria

Possui doutorado com menção internacional (2015) em Engenharia Civil pela Universidade de Granada (Espanha), revalidado pelo Programa de Pós-Graduação em Engenharia Civil da UNICAMP (conceito CAPES 7). Possui graduação em Ingeniería de Caminos, Canales y Puertos pela Universidade de Granada (2003), revalidado pela UFRGS a Bacharelado em Engenharia Civil. Desenvolveu pós-doc no Programa de Pós-Graduação em Engenharia de Produção do Departamento de Engenharia de Produção e Transportes (PPGEP-DEPROT) da UFRGS e no Departamento de Engenharia Civil da Universidade de Granada (Espanha).Tem experiência na área privada na empresa FCC (Espanha) (2006-2007).Foi funcionário público da Junta da Andaluzia e ocupou o posto de Chefe do Departamento Regional de Rodovias de Almería (Andaluzia, Espanha) entre 2008-2015.Desde 2016 é Professor Adjunto na Universidade Federal de Santa Maria (UFSM), onde coordena o Laboratório de Mobilidade e Logística (LAMOT). Atualmente está lotado no Departamento de Transportes do Centro de Tecnologia da UFSM e atua como docente no Curso de Engenharia Civil e no Programa de Pós-Graduação em Engenharia Ambiental. Forma parte da Sociedad Panamericana de Investigación en Transporte (PANAMSTR) como líder do Comitê Sustainable Transport. Suas áreas de pesquisa abrangem os impactos ambientais dos sistemas de transporte, engenharia de tráfego, segurança viária, padrões de viagens e mobilidade sustentável, com apoio de metodologias de decisão multicritério, análise multivariada de dados e modelagem de percepção mediante lógica fuzzy. Igualmente, tem interesse na aplicação de metodologias ativas de ensino-aprendizagem e jogos educacionais em disciplinas de cunho tecnológico.

PhD. Luciano Pivoto Specht, Federal University of Santa Maria

He did a post-doctorate at the École Nationale des Travaux Publics de LÉtat (Université de Lyon) in 2015. He completed his PhD in the Postgraduate Program in Civil Engineering at the Federal University of Rio Grande do Sul in 2004. He was an assistant, associate and adjunct professor at UNIJUI - Universidade Regional do Noroeste do Estado do Rio Grande do Sul in Ijuí - RS, working on the Civil Engineering course and the Master's in Mathematical Modeling from 2001 to 2011. He is currently an associate professor at UFSM - Federal University of Santa Maria, working in the Civil Engineering course and in the Postgraduate Program in Civil Engineering (Master's and Doctorate) (as Coordinator between 2019 and 2021), as well as a professor at PPGEC at UFRGS. CNPq Research Productivity Fellow (Level 2 - 2012-2019 and Level 1D - 2019-2027); implemented and tutored the Civil Engineering PET group at UNIJUI (2006-2011) and UFSM (2012-2014). He has supervised 5 doctorates, 45 master's degrees and 76 undergraduate thesis. He has experience in Civil Engineering, with an emphasis on Paving, Geotechnics and Transportation, working mainly on the following subjects: flexible pavements, transportation infrastructure, paving materials, asphalt concrete and the environment. He is a member of ABPv, ABMS and ANPET. He has published more than 120 articles in specialized journals and more than 350 papers in event proceedings. Between 2003 and 2021, he received 18 awards, including the Jaques de Medina Award from the Brazilian Oil and Gas Institute for his doctoral thesis. He has participated in more than 100 scientific events in recent years. He is a member of the scientific committees of ABPv, ANPET and ABMS, as well as being a member of the INEP/MEC assessment body, an AdHoc consultant for MEC, CAPES and CNPq and a reviewer for numerous national and international journals. He is a full member of the Asphalt Commission of the Brazilian Institute of Oil, Gas and Biofuels and associate editor of Road Materials and Pavement Design.

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2025-06-11

How to Cite

Nunes-Ramos, V., da Silva Vieira, J., Ruiz-Padillo, A., & Pivoto Specht, L. (2025). Using a hybrid multi-criteria analysis method to classify hot mix asphalt regarding permanent deformation. Transportes, 33, e3038. https://doi.org/10.58922/transportes.v33.e3038

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Vol. 33 (2025)

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Análise de Decisão em Transportes 2025

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Copyright (c) 2025 Victória Nunes-Ramos, Jéssica da Silva Vieira, Alejandro Ruiz-Padillo, Luciano Pivoto Specht

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