EXPERIMENTAL INVESTIGATION ON CIRCULAR HOLLOW STEEL COLUMNS IN-FILLED WITH LIGHT WEIGHT CONCRETE (WITH & WITHOUT GFRP) UNDER CYCLIC LOADING

Syed Murtuza, N.S.Kumar

Abstract: Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of Light weight concrete are tested for ultimate load capacity and axial shortening , under Cyclic loading. Steel tubes are compared for different lengths, cross sections and thickness. Specimens were tested separately after adopting Taguchi’s L9 (Latin Squares) Orthogonal array in order to save the initial experimental cost on number of specimens and experimental duration. Analysis was carried out using ANN (Artificial Neural Network) technique with the assistance of Mini Tab- a statistical soft tool. Comparison for predicted, experimental & ANN output is obtained from linear regression plots. From this research study, it can be concluded that *Cross sectional area of steel tube has most significant effect on ultimate load carrying capacity, *as length of steel tube increased- load carrying capacity decreased & *ANN modeling predicted acceptable results. Thus ANN tool can be utilized for predicting ultimate load carrying capacity for composite columns

Keywords: Light weight concrete, GFRP, Artificial Neural Network, Linear Regression, Back propagation, orthogonal Array, Latin Squares

DOI: https://doi.org/10.15623/ijret.2013.0213021