Artificial Neural Networks for Reinforced Concrete Beam-Column Joints: An Experimental Investigation
Ashraful Wang
Corresponding
University of Cape Town
Leila Haque
Delft University of Technology
Marco Santos
King Fahd University of Petroleum and Minerals
Carlos Reddy
University of New South Wales
Abstract
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.
Keywords:
reinforced concrete beam-column jointsartificial neural networksmicrostrip antennagroundwater quality
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