Study of retroanalysis of asphaltic pavements resilience modules with the use of artificial neural networks

Authors

  • Alcidney Batista Celeste Superintendência Regional da Paraíba - UL de Patos
  • Francisco Heber Lacerda de Oliveira Universidade Federal do Ceará

DOI:

https://doi.org/10.14295/transportes.v27i4.1781

Keywords:

Asphalt pavements, Resilience module, Retroanalysis, Artificial neural networks.

Abstract

Knowledge of pavement Resilience Modules (RM) is an important element for the structural assessment of existing infrastructures. One way to determine them is through dynamic repeated load testing in the laboratory; another way is to use the technique of retroanalysis, which consists in obtaining the RM from the thickness of the layers and the deflections measured on the pavement surface. In this sense, this paper aims to present the RM retroanalysis through the technique of Artificial Neural Networks (ANN) as an alternative to the traditional retroanalysis. The results demonstrate that the ANN could predict the RM with results of coefficients of determination (R²) above 99.9% between the reference and predicted values. Thus, ANN are a potential alternative to obtain this important mechanical property of paving materials compared to traditional methods.

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Author Biographies

Alcidney Batista Celeste, Superintendência Regional da Paraíba - UL de Patos

Mestre em Engenharia Civil

Analista em Infraestrutura de Transportes


Francisco Heber Lacerda de Oliveira, Universidade Federal do Ceará

Doutor em Engenharia de Transportes pelo Programa de Pós-Graduação em Engenharia de Transportes, da Universidade Federal do Ceará. Professor Adjunto do Departamento de Engenharia de Transportes, da Universidade Federal do Ceará. Affiliate Member in the American Society of Civil Engineers - ASCE. Tem experiência em Planejamento do Transporte Aéreo, Operação, Manutenção e Reabilitação de Infraestruturas Aeroportuárias, especialmente em pavimentos de pátios e de pistas de pouso e decolagem.

References

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Published

2019-12-28

How to Cite

Celeste, A. B., & Oliveira, F. H. L. de. (2019). Study of retroanalysis of asphaltic pavements resilience modules with the use of artificial neural networks. TRANSPORTES, 27(4), 123–133. https://doi.org/10.14295/transportes.v27i4.1781

Issue

Vol. 27 No. 4 (2019)

Section

Artigos

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