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Computers and Concrete
  Volume 5, Number 5, October 2008 , pages 475-490

Modelling the performance of self-compacting SIFCON of cement slurries using genetic programming technique
Abdulkadir Cevik and Mohammed Sonebi

    The paper explores the potential of applicability of Genetic programming approach (GP), adopted in this investigation, to model the combined effects of five independent variables to predict the mini-slump, the plate cohesion meter, the induced bleeding test, the J-fiber penetration value, and the compressive strength at 7 and 28 days of self-compacting slurry infiltrated fiber concrete (SIFCON). The variables investigated were the proportions of limestone powder (LSP) and sand, the dosage rates of superplasticiser (SP) and viscosity modifying agent (VMA), and water-to-binder ratio (W/B). Twenty eight mixtures were made with 10-50% LSP as replacement of cement, 0.02-0.06% VMA by mass of cement, 0.6-1.2% SP and 50-150% sand (% mass of binder) and 0.42-0.48 W/B. The proposed genetic models of the self-compacting SIFCON offer useful modelling approach regarding the mix optimisation in predicting the fluidity, the cohesion, the bleeding, the penetration, and the compressive strength.
Key Words
    compressive strength; induced bleeding; limestone powder; mini-slump; superplasticizer; viscosity-modifying agent; water/binder, genetic programming.
Abdulkadir Cevik : Department of Civil Engineering, University of Gaziantep, Turkey
Mohammed Sonebi : School of Planning, Architecture, and Civil Engineering, Queen?s University Belfast Belfast BT7 1NN, Northern Ireland, UK

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