Computers and Concrete

  • 제27권2호
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  • Pages.175-184
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  • 2021
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

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Pozzolanicity identification in mortars by computational analysis of micrographs

  • Filho, Rafael G.D. Molin (Department of Chemical Engineering, State University of Maringa) ;
  • Rosso, Jaciele M. (Department of Physics, State University of Maringa) ;
  • Volnistem, Eduardo A. (Department of Physics, State University of Maringa) ;
  • Vanderlei, Romel D. (Department of Civil Engineering, State University of Maringa) ;
  • Longhi, Daniel A. (Advanced Campus in Jandaia do Sul, Federal University of Parana) ;
  • de Souza, Rodrigo C.T. (Advanced Campus in Jandaia do Sul, Federal University of Parana) ;
  • Paraiso, Paulo R. (Department of Chemical Engineering, State University of Maringa) ;
  • Jorge, Luiz M. de M. (Department of Chemical Engineering, State University of Maringa)
  • 투고 : 2020.05.20
  • 심사 : 2021.01.19
  • 발행 : 2021.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

The incorporation of pozzolans to Portland cement pastes adds value in the development of new materials for the construction industry. This study presents a new computational method, complementary to the pozzolanic identification by compressive strength at 28 days method, for supporting the validation of pozzolanic mortars for non-structural purposes. An algorithm capable of classifying the pixels of micrographs of specimens fragments was developed. Therefore, comparative analyses were generated from fractional Gaussian representations in four intervals of the same amplitude that indicated the predispositions to form larger void indices (intervals 1 and 2). The results showed that the computational method indicators are in accordance with the physical and chemical indicators.

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참고문헌

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