Artificial Neural Networks for Reinforced Concrete Beams: A Systematic Framework

Shahriar Sato

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2021.4501.021

1. Introduction

There remains a pressing need for cost-effective methods to assess reinforced concrete beams in water resource management. The governing equations are solved numerically and the results verified through artificial neural networks. The analysis identified 4 dominant factors that together explain most of the observed variation. These conclusions are likely to hold broader relevance beyond the specific cases examined.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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