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Prognostication of mechanical properties of banana and jute fiber reinforced concrete using ANN
In the present study, using data from experiments, an artificial neural network (ANN) model has been created to predict the strengths of concrete with banana and jute fibers at concrete ages of 7 and 28 days. The parameters considered for the ANN inputs are Grade of Concrete, FA, CA, W/C, Super Plasticizer, length, diameter and Density of fiber, curing in days, NaOH Concentration, Fiber treatment in hours, percentage of fiber added. The results from training and testing models have shown the great potential of ANN in predicting the compressive and flexural strengths of banana and jute fiber reinforced concrete.
Prognostication of mechanical properties of banana and jute fiber reinforced concrete using ANN
In the present study, using data from experiments, an artificial neural network (ANN) model has been created to predict the strengths of concrete with banana and jute fibers at concrete ages of 7 and 28 days. The parameters considered for the ANN inputs are Grade of Concrete, FA, CA, W/C, Super Plasticizer, length, diameter and Density of fiber, curing in days, NaOH Concentration, Fiber treatment in hours, percentage of fiber added. The results from training and testing models have shown the great potential of ANN in predicting the compressive and flexural strengths of banana and jute fiber reinforced concrete.
Prognostication of mechanical properties of banana and jute fiber reinforced concrete using ANN
Asian J Civ Eng
Ashwini, B. T. (Autor:in) / Kumar, Y. M. Vijaya (Autor:in) / Gowda, B. S. Keerthi (Autor:in) / Kumar, D. T. Naveen (Autor:in)
Asian Journal of Civil Engineering ; 25 ; 4429-4449
01.09.2024
21 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Prognostication of mechanical properties of banana and jute fiber reinforced concrete using ANN
Springer Verlag | 2024
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