Volume 11 Issue 3 - September 2018

  • 1. Predicting compressive strength of concrete containing ternary combination of industrial by-products as partial replacement of cement and fine aggregates using ann and anfis

    Authors : Varinder Kumar Bansal, Maneek Kumar, Prem Pal Bansal, Ajay Batish

    Pages : 42-57

    DOI : http://dx.doi.org/10.21172/1.113.07

    Keywords : Concrete; Compressive strength; Industrial by-products; Artificial neural network (ANN); Adaptive neuro-fuzzy inference systems (ANFIS); Taguchi method.

    Abstract :

    Compressive strength of concrete is one of the important mechanical properties of the concrete and most essential factor for the quality assurance of concrete. This paper presents three different data-driven models, i.e. Taguchi, artificial neural network (ANN) and ANFIS to predict the compressive strength of concrete containing ternary combinations of industrial by-products as partial replacement of cement and fine aggregates. Cement was partially replaced with fly-ash, ladle furnace slag and copper slag at 10%, 25% and 40% level and fine aggregate was partially replaced by electric arc furnace slag, iron slag and glass powder at 20%, 30% and 40% level. The water to binder ratio was fixed at 0.40, 0.44 and 0.48 and the curing age was fixed at 7, 28 and 90 days. An L9 Taguchi orthogonal array was used to design the experiments for four parameters at three levels giving rise to a total of nine trial experiments for one set of water to binder ratio and curing age. The mix constituents were fed as the input parameters to achieve the compressive strength as the target. Thus a total of 90 datasets are used to develop an ANN and ANFIS models to predict the compressive strength having input and output data obtained from the laboratory experiments. Results show that the ANFIS model provides better accuracy than the ANN model for prediction of the compressive strength of this type of concrete.

    Citing this Journal Article :

    Varinder Kumar Bansal, Maneek Kumar, Prem Pal Bansal, Ajay Batish, "Predicting compressive strength of concrete containing ternary combination of industrial by-products as partial replacement of cement and fine aggregates using ann and anfis", https://www.ijltet.org/journal_details.php?id=937&j_id=4714, Volume 11 Issue 3 - September 2018, 42-57, #ijltetorg