Computers and Concrete

  • 제19권2호
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  • Pages.133-142
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  • 2017
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Fuzzy inference systems based prediction of engineering properties of two-stage concrete

  • Najjar, Manal F. (Department of Civil Engineering, Tripoli University) ;
  • Nehdi, Moncef L. (Department of Civil and Environmental Engineering, Western University) ;
  • Azabi, Tareq M. (Department of Civil and Environmental Engineering, Western University) ;
  • Soliman, Ahmed M. (Department of Building, Civil and Environmental Engineering, Concordia University)
  • 투고 : 2016.06.29
  • 심사 : 2016.11.07
  • 발행 : 2017.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

Two-stage concrete (TSC), also known as pre-placed aggregate concrete, is characterized by its unique placement technique, whereby the coarse aggregate is first placed in the formwork, then injected with a special grout. Despite its superior sustainability and technical features, TSC has remained a basic concrete technology without much use of modern chemical admixtures, new binders, fiber reinforcement or other emerging additions. In the present study, an experimental database for TSC was built. Different types of cementitious binders (single, binary, and ternary) comprising ordinary portland cement, fly ash, silica fume, and metakaolin were used to produce the various TSC mixtures. Different dosages of steel fibres having different lengths were also incorporated to enhance the mechanical properties of TSC. The database thus created was used to develop fuzzy logic models as predictive tools for the grout flowability and mechanical properties of TSC mixtures. The performance of the developed models was evaluated using statistical parameters and error analyses. The results indicate that the fuzzy logic models thus developed can be powerful tools for predicting the TSC grout flowability and mechanical properties and a useful aid for the design of TSC mixtures.

키워드

참고문헌

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피인용 문헌

  1. Predicting the mechanical properties of ordinary concrete and nano-silica concrete using micromechanical methods vol.43, pp.12, 2018, https://doi.org/10.1007/s12046-018-0965-0