Statistical analysis of the quality of the measurements of the shape properties of aggregates using the Digital Image Processing (DIP)

Authors

  • Daniele Soares Ibiapina Universidade Federal do Ceará, Ceará – Brasil
  • Lara Marques Diogenes Universidade Federal do Ceará, Ceará – Brasil
  • Veronica Teixeira Franco Castelo Branco Universidade Federal do Ceará, Ceará – Brasil
  • Silvia Maria de Freitas Universidade Federal do Ceará, Ceará – Brasil
  • Laura Maria Goretti da Motta Universidade Federal do Rio de Janeiro, Rio de Janeiro – Brasil
  • Daianne Fernandes Diogenes Universidade Federal do Ceará, Ceará – Brasil

DOI:

https://doi.org/10.14295/transportes.v28i1.1865

Keywords:

Statistical analysis. Shape properties of aggregates. Digital Image Processing (DIP).

Abstract

The Digital Image Processing (DIP) is established as a tool for the characterization of aggregate shape properties (shape, angularity, and surface texture). Among the main techniques of DIP used in the area of Transport Infrastructure is the use of the Aggregate Imaging Measurement System (AIMS). This paper AIMS to evaluate the quality of aggregate shape properties measurements generated by the use of two AIMS, through statistical analyzes of repeatability and reproducibility. For this reason, two aggregates of phonolitic origin, produced by different crushing processes, were collected. The results based on descriptive and inferential statistics showed that there was repeatability and reproducibility, which contributes to the selection of aggregates in the project phase with shape properties provided from distribution curves and not by mean values.

Downloads

Download data is not yet available.

References

ABNT – Associação Brasileira de Normas Técnicas. ABNT ISO/IEC GUIA 43-1 (1999) Ensaios de proficiência por comparações interlaboratoriais. Brasil.

Al Rousan, T. M (2004) Characterization of aggregate shape properties using a computer automated system. Tese de Douto-rado em Engenharia Civil – Texas A&M University, College Station, Texas. Disponı́vel em: http://goo.gl/szfK0B.

Al Rousan, T. M.; E. A. Masad; L. Myers e C. Speigelman (2005) New methodology for shape classification of aggregates. Jour-nal of Transportation Research Board, v.193. DOI:103141/193-02.

Alves, V. A. H. S (2014) Avaliação da resistência à degradação mecânica de agregados da região metropolitana do Rio de Janeiro por técnicas digitais de imagens. Dissertação de Mestrado, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ.

ASTM – American Society for Testing and Materials. ASTM C 802 (1996): Standard practice for conducting an interlaborato-ry test program to determine the precision of test methods for construction materials. EUA.

ASTM – American Society for Testing and Materials. ASTM E 691 (2009): Standard practice for conducting an interlaborato-ry study to determine the precision of a test method. EUA.

Barthen, R. e C. Bertulani (2009) Vocabulário de metrologia legal. Projeto ensino de física a distância. Instituto de Fı́sica – Universidade Federal do Rio de Janeiro (IF/UFRJ). Disponı́vel em: http://www.if.ufrj.br/teaching/metrol/metro.html.

Bathina, M (2005) Quality analysis of the Aggregate Imaging System (AIMS). Dissertação de Mestrado. Texas A&M Universi-ty, College Station, Texas. Disponı́vel em: http://hdl.handle.net/1969.1/2416.

Bessa, I. S (2012) Avaliação do processamento digital de imagens como ferramenta para caracterização de agregados e mis-turas asfálticas. Dissertação de Mestrado, Universidade Federal do Ceará, Fortaleza, CE. Disponível em: http://www.repositorio.ufc.br/handle/riufc/4842.

Castelo Branco, V. T. F.; E. Masad; D. N. Little; J. B. Soares e L. M. G. Motta (2006) Caracterização de forma, angularidade e textura de agregado de brita granı́tica e escórias de aciária usando o Aggregate Imaging System (AIMS). Anais do XX Con-gresso de Pesquisa e Ensino em Transportes, ANPET, Brası́lia, DF.

Diógenes, D. F.; R. S. Maia; V. T. F. Castelo Branco (2017) Evaluation of the ballast aggregates shape properties using digital image processing techniques. Bearing Capacity of Roads, Railways and Airfelds –Loizos et al. (Eds). Taylor & Francis Group, London, ISBN 978-1-138-29595-7.

Diógenes, L. M (2018) Avaliação das relações entre propriedades de agregados minerais com base nas caracterı́sticas do processo de britagem e da rocha de origem. Dissertação de Mestrado, Universidade Federal do Ceará, Fortaleza, CE. Dis-ponı́vel em: http://www.repositorio.ufc.br/handle/riufc/34523.

Fortes, R. M.; A. Z. Neto; M. P. Assali e A. S. Barbosa Júnior (2004) Avaliação de cinco anos de programa interlaboratorial de misturas asfálticas desenvolvido no Brasil. 35ª Reunião Anual de Pavimentação. Rio de Janeiro, RJ.

Ibiapina, D. S.; V. T. F. Castelo Branco; C. B. Rodrigues e I. S. Bessa (2017) Avaliacão da relacão entre angularidade de agrega-dos e parâmetros do esqueleto mineral de misturas asfálticas. Anais do XIX CILA – Congresso Ibero Latino Americano del Asfalto. Medellin, Colômbia, 27 a 30 de novembro. Poster 317.

Ibiapina, D. S (2018) Proposição de um sistema de classificação das propriedades de forma de agregados caracterizados com o uso do processamento digital de imagens para a seleção de materiais brasileiros. Tese de Doutorado, Universidade Federal do Ceará, Fortaleza, CE. Disponível em: http://www.repositorio.ufc.br/handle/riufc/34019.

Ibiapina, D. S.; V. T. F. Castelo Branco; L. M. Diógenes; L. M. G. Motta e S. M. Freitas (2018) Proposição de um sistema de classi-ficação das propriedades de forma de agregados caracterizados com o uso do processamento digital de imagens a partir de materiais oriundos do Brasil. Revista Transportes, v. 26, n. 4, p. 116-128. DOI: https://doi.org/10.14295/transportes.v26i4.1510.

INMETRO Instituto Nacional de Metrologia, Normalização e Qualidade Industrial (2009) Conheça o Inmetro. Disponı́vel em http://www.inmetro.gov.br/inmetro/oque.asp. Acessado em 01/08/2017.

Lopes, M. M (2010) Programa interlaboratorial de agregados e misturas asfálticas da Rede Asfalto N/NE. Dissertação de Mestrado, Universidade Federal do Ceará, Fortaleza, CE. Disponı́vel em: http://hdl.handle.net/123456789/1813.

Mahmoud, E. M.; L. Gates; E. A. Masad; S. Erdogan e E. Garboczi (2010) Comprehensive evaluation of AIMS texture, angulari-ty, and dimension measurements. Journal of Materials in Civil Engineering, v. 22, n. 4, p. 369-379. DOI: https://doi.org/10.1061/(ASCE)MT.1943-5533.0000033.

Mahmoud, E. M. e E. Ortiz (2014) Implementation of AIMS in measuring aggregate resistance to polishing, abrasion, and breakage. Research Report no FHWA-ICT-14-014. Illinois Center for Transportation. 2014. Disponível em: http://tti.tamu.edu/documents/ 5-1707-03-1.pdf.

Masad, E. A.; V. T. F. Castelo Branco; D. N. Little e R. A. Lytton (2007b) Unified method for the analysis of controlled-strain and controlled-stress fatigue testing. International Journal of Pavement Engineering, v. 9, p. 233-246. DOI: http://dx.doi.org/10.1080/10298430701551219.

Moaveni, M; E. Mahmoud; E. M. Ortiz; E. Tutumluer e S. Beshears (2014) Use of advanced Aggregate Imaging Systems to evaluate aggregate resistance to breakage, abrasion, and polishing. Transportation Research Record: Journal of the Transportation Research Board, n. 2401, p. 1-10. DOI: https://doi.org/10.3141/2401-01.

Pazos, A. G.; F. T. Sacramento e L. M. G. Motta (2015) Efeitos de propriedades morfológicas de agregados no comportamento mecânico de misturas asfálticas. 44ª Reunião Anual de Pavimentação, RAPv, Rio de Janeiro, RJ. Disponı́vel em: www.sinicesp.com.br/44rapv/trabalhos/TrabalhoFinal_39.

R CORE TEAM R (2015) A language and environment for statistical computing. R Foundation for Statistical Computing, Viena, Austria. Disponı́vel em: https://www.R-project.org/.

Taylor, M. A.; E. J. Garboczi; S. T. Erdogan e D. W. Fowler (2006) Some properties of irregular particles in 3D. Powder Technol-ogy, 162, 1-15. DOI: 10.1016/j.powtec.2005.10.013.

Downloads

Published

2020-12-15

How to Cite

Ibiapina, D. S., Diogenes, L. M., Castelo Branco, V. T. F., de Freitas, S. M., da Motta, L. M. G., & Diogenes, D. F. (2020). Statistical analysis of the quality of the measurements of the shape properties of aggregates using the Digital Image Processing (DIP). TRANSPORTES, 28(5), 1–12. https://doi.org/10.14295/transportes.v28i1.1865

Issue

Vol. 28 No. 5 (2020)

Section

Artigos

License

Authors who submit papers for publication by TRANSPORTES agree to the following terms:

  1. Authors retain copyright and grant TRANSPORTES the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  2. Authors may enter into separate, additional contractual arrangements for the non-exclusive distribution of this journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in TRANSPORTES.

  3. Authors are allowed and encouraged to post their work online (e.g., in institutional repositories or on their website) after publication of the article. Authors are encouraged to use links to TRANSPORTES (e.g., DOIs or direct links) when posting the article online, as TRANSPORTES is freely available to all readers.

  4. Authors have secured all necessary clearances and written permissions to published the work and grant copyright under the terms of this agreement. Furthermore, the authors assume full responsibility for any copyright infringements related to the article, exonerating ANPET and TRANSPORTES of any responsibility regarding copyright infringement.

  5. Authors assume full responsibility for the contents of the article submitted for review, including all necessary clearances for divulgation of data and results, exonerating ANPET and TRANSPORTES of any responsibility regarding to this aspect.