Data-Driven Machine Learning for Predicting the Strength of Pretensioned Concrete Girders Considering Shear Failure Mode

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. Estimating the shear strength of ...