International Journal of Research in Engineering and Technology, 2013
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of ... more 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.
International Journal of Research in Engineering and Technology, 2013
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of ... more 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.
This paper aims to provide an insight into the various developments that have taken place since t... more This paper aims to provide an insight into the various developments that have taken place since the introduction of nano materials into cement mortar. Earlier, cement and sand with aggregates were the basic materials used for construction. But as time passed by, there have been considerable advancements and many other materials whose structural stability have been studied upon as a means to move away from the conventional form and improve the performance of cement composites at the same time. It all began with the inclusion of plasticisers and then in present times, we have moved on to the use of nano materials as a substitute for strength gain. In this paper, various experiments conducted with the use of nano materials, especially halloysite nano clay and Multiwalled carbon nanotubes have been highlighted in order to provide an in depth knowledge of CNT and their individual effects on the strength of cement mortar.
International Journal of Research in Engineering and Technology, 2013
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of ... more 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.
International Journal of Research in Engineering and Technology, 2013
Composite Circular hollow Steel tubes with and without GFRP infill for three different grades of ... more 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.
This paper aims to provide an insight into the various developments that have taken place since t... more This paper aims to provide an insight into the various developments that have taken place since the introduction of nano materials into cement mortar. Earlier, cement and sand with aggregates were the basic materials used for construction. But as time passed by, there have been considerable advancements and many other materials whose structural stability have been studied upon as a means to move away from the conventional form and improve the performance of cement composites at the same time. It all began with the inclusion of plasticisers and then in present times, we have moved on to the use of nano materials as a substitute for strength gain. In this paper, various experiments conducted with the use of nano materials, especially halloysite nano clay and Multiwalled carbon nanotubes have been highlighted in order to provide an in depth knowledge of CNT and their individual effects on the strength of cement mortar.
Uploads
Papers by kumar sateesh