Browsing Civil Engineering by Subject "Artificial neural networks, Prestressed concrete, Transfer length"
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Innovative model for accurate prediction of the transfer length of prestressing strands based on artificial neural networks: Case study
(Elsevier Ltd., 2020)This study provides a case study showing the effectiveness of utilizing Artificial Neural Networks (ANNs) in prestressed concrete. The effectiveness of prestressing is crucially linked to the transfer length (TL) of the ...