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Prognostication of mechanical properties of banana and jute fiber reinforced concrete using ANN

Ashwini, B. T. / Kumar, Y. M. Vijaya / Gowda, B. S. Keerthi / Kumar, D. T. Naveen

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.

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Prognostication of mechanical properties of banana and jute fiber reinforced concrete using ANN

Ashwini, B. T. / Kumar, Y. M. Vijaya / Gowda, B. S. Keerthi / Kumar, D. T. Naveen

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

Ashwini, B. T. / Kumar, Y. M. Vijaya / Gowda, B. S. Keerthi / Kumar, D. T. Naveen

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.

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Title:

Prognostication of mechanical properties of banana and jute fiber reinforced concrete using ANN

Additional title:

Asian J Civ Eng

Contributors:

Ashwini, B. T. (author) / Kumar, Y. M. Vijaya (author) / Gowda, B. S. Keerthi (author) / Kumar, D. T. Naveen (author)

Published in:

Asian Journal of Civil Engineering ; 25 ; 4429-4449

Publication date:

2024-09-01

Size:

21 pages

ISSN:

2522-011X , 1563-0854

DOI:

https://doi.org/10.1007/s42107-024-01057-1

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

Banana fiber reinforced concrete , Jute fiber reinforced concrete , Artificial neural network (ANN) , Strength Prediction Engineering , Civil Engineering , Building Materials , Sustainable Architecture/Green Buildings

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