ISSN 2394-5125
 

Research Article 


Prediction of Structural Response of RC Buildings using Artificial Neural Networks

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi*.

Abstract
This study is about the prediction of structural response of Reinforced Concrete (RC) structures using Artificial Neural Networks (ANN). Experimental results showing the seismic performance of both bare frame and soft storey frame buildings are considered for the purpose. ANN consists of input layer, hidden layer and output layer and the number of each layer depends upon the data available. Here El Centro earthquake excitations and the time period of the structures are considered as the input layers while roof acceleration, top displacement and base shear are the output layers. After proper training, ANN predicted the structural response of both the buildings with 98% accuracy. Inclusion of the new age technology into the field of structural engineering can help in the reducing the complexity of the work.

Key words: Artificial Neural Networks, prediction, structural response, seismic data, RC buildings.


 
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How to Cite this Article
Pubmed Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi. Prediction of Structural Response of RC Buildings using Artificial Neural Networks. JCR. 2020; 7(4): 1167-1172. doi:10.31838/jcr.07.04.210


Web Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi. Prediction of Structural Response of RC Buildings using Artificial Neural Networks. http://www.jcreview.com/?mno=99199 [Access: May 31, 2021]. doi:10.31838/jcr.07.04.210


AMA (American Medical Association) Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi. Prediction of Structural Response of RC Buildings using Artificial Neural Networks. JCR. 2020; 7(4): 1167-1172. doi:10.31838/jcr.07.04.210



Vancouver/ICMJE Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi. Prediction of Structural Response of RC Buildings using Artificial Neural Networks. JCR. (2020), [cited May 31, 2021]; 7(4): 1167-1172. doi:10.31838/jcr.07.04.210



Harvard Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi (2020) Prediction of Structural Response of RC Buildings using Artificial Neural Networks. JCR, 7 (4), 1167-1172. doi:10.31838/jcr.07.04.210



Turabian Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi. 2020. Prediction of Structural Response of RC Buildings using Artificial Neural Networks. Journal of Critical Reviews, 7 (4), 1167-1172. doi:10.31838/jcr.07.04.210



Chicago Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi. "Prediction of Structural Response of RC Buildings using Artificial Neural Networks." Journal of Critical Reviews 7 (2020), 1167-1172. doi:10.31838/jcr.07.04.210



MLA (The Modern Language Association) Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi. "Prediction of Structural Response of RC Buildings using Artificial Neural Networks." Journal of Critical Reviews 7.4 (2020), 1167-1172. Print. doi:10.31838/jcr.07.04.210



APA (American Psychological Association) Style

Rosemary K Thomas, Swetha Elizabeth Philip, M Helen Santhi (2020) Prediction of Structural Response of RC Buildings using Artificial Neural Networks. Journal of Critical Reviews, 7 (4), 1167-1172. doi:10.31838/jcr.07.04.210