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Computers and Concrete Volume 19, Number 2, February 2017 , pages 133-142 DOI: https://doi.org/10.12989/cac.2017.19.2.133 |
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Fuzzy inference systems based prediction of engineering properties of two-stage concrete |
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Manal F. Najjar, Moncef L. Nehdi, Tareq M. Azabi and Ahmed M. Soliman
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| Abstract | ||
| 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. | ||
| Key Words | ||
| two-stage concrete; fuzzy logic; efflux time; spread flow; compressive strength; tensile strength | ||
| Address | ||
| Manal F. Najjar: Department of Civil Engineering, Tripoli University, Sidy Al-Masry, Al-Furnaj Road, Tripoli, Libya Moncef L. Nehdi and Tareq M. Azabi: Department of Civil and Environmental Engineering, Western University, London, N6A 5B9, Ontario, Canada Azabi and Ahmed M. Soliman: Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, H3G 1M8, Quebec, Canada | ||