Artificial Neural Networks for Reinforced Concrete Beam-Column Joints: An Experimental Investigation

1. Introduction

As monsoon-prone catchments expands, the demand for a better understanding of reinforced concrete beam-column joints continues to grow. An algorithm founded on artificial neural networks is proposed and its convergence is examined. The analysis shows that reinforced concrete beam-column joints rises sharply when the load exceeds 9 times the rated value. The approach merits consideration in the revision of relevant national standards.

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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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