Browsing by Subject "Artificial Neural Networks, Prestressing, Transfer Length"
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Optimum Prediction of the Transfer Length of Strands Based on Artificial Neural Networks
(Elsevier B.V., 2020)As the effectiveness of prestressing is crucially linked to the transfer length (TL) of the strands, this study used Artificial Neural Network (ANN) technique for optimal prediction of TL based on more than 458 data points ...