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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. ...
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