Confined compressive strength predictions of square concrete columns by ANN were compared to some analytical models and were found very promising
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Objective & Hypothesis:This paper presents the application of artificial neural networks (ANN) for prediction of confined compressive strength of square concrete columns.
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Key Findings & Data:Experimental data of 252 normal and high strength square concrete column were collected from the literature to develop an ANN model with input parameters consisting of yield strengths, numbers and diameters of longitudinal and transverse reinforcements, characteristic concrete strength, concrete cover thickness, specimen dimension, transverse reinforcement spacing and six different transverse reinforcement configurations.
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Conclusion & Impact:Confined compressive strength predictions of square concrete columns by ANN were compared to some analytical models and were found very promising
This paper presents the application of artificial neural networks (ANN) for prediction of confined compressive strength of square concrete columns. Experimental data of 252 normal and high strength square concrete column were collected from the literature to develop an ANN model with input parameters consisting of yield strengths, numbers and diameters of longitudinal and transverse reinforcements, characteristic concrete strength, concrete cover thickness, specimen dimension, transverse reinforcement spacing and six different transverse reinforcement configurations. Confined compressive strength predictions of square concrete columns by ANN were compared to some analytical models and were found very promising
Öztekin, E. (2012). PREDICTION OF CONFINED COMPRESSIVE STRENGTH OF SQUARE CONCRETE COLUMNS BY ARTIFICIAL NEURAL NETWORKS. International Journal of Engineering and Applied Sciences, Cilt: 4 - Sayı: 3, 17–35. https://ajindex.com/articles/766721
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