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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 ...
Control of Vibrations of Common Pedestrian Bridges in Jordan Using Tuned Mass Dampers
(Elsevier B.V., 2020)
Due to their inherent slenderness and lightness, pedestrian bridges are typically subtle to human induced vibrations. This study was conducted to investigate the effect of human induced vibrations on common simply supported ...
Critical Evaluation of the Shear Lag Factor Provisions for W-Sections
(Frontiers Media S.A., 2020)
Shear lagging, resulting from non-uniformity of stress distribution around the connection, is one of the most important design considerations in steel construction since it reduces the load capacity of tension members. In ...