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Data-Driven Machine Learning for Predicting the Strength of Pretensioned Concrete Girders Considering Shear Failure Mode
Publisher: American Society of Civil Engineers
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. ...
Development and Experimental Validation of a Refined Three-Dimensional Strut-and-Tie Model for Pile Caps with Curved-Bar Nodes
Publisher: American Society of Civil Engineers
Abstract: AbstractThis paper presents the results of large-scale tests on two pile cap specimens subjected
to concentric loading: one with a square plan and the other with a rectangular plan.
During the tests, the bottom reinforcement ...
Relaxing Shear Stress Limit for the End Region of Prestressed Concrete Girders
Publisher: American Society of Civil Engineers
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 ...
Shear Performance of RC Deep Beams with High-Strength Reinforcing Steel
Publisher: American Society of Civil Engineers
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, ...
Experimental and Numerical Assessment of Corbels Designed Based on Strut-and-Tie Provisions
Publisher: American Society of Civil Engineers
Abstract: Reinforced concrete (RC) corbels are short cantilever members that are used to transfer eccentric loads into columns or walls. Due to discontinuity in load and geometry, RC corbels cannot be adequately designed using methods ...
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