Ashraful Wang, Leila Haque, Marco Santos, Carlos Reddy
Open Access Journal of Engineering Applications · doi:10.55555/oajea.2007.3101.033
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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