Abstract: AbstractThis study presents a novel approach that integrates shear failure modes as critical variables within machine learning models to enhance the accuracy of shear strength estimation for pretensioned concrete girders. ...

Abstract: AbstractThis paper investigates the potential for relaxing the 0.18fc′ shear stress limit imposed by AASHTO load-and-resistance factor design (LRFD) in the end regions of prestressed concrete girders with relatively large ...

Abstract: AbstractWith the increased need to construct megastructures such as long-span bridges and skyscrapers, there has been significant development in high-strength reinforcement for these structures. In line with this trend, ...