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Data-Driven Shear Capacity Prediction of Reinforced Concrete Deep Beams with an Uncertainty-Aware Model
Publisher: American Society of Civil Engineers
Abstract: Data-driven approaches based on machine learning (ML) have become progressively popular for the shear capacity prediction of reinforced concrete (RC) deep beams because the fine-tuned ML models could mostly outperform the ...
Study on Data-Driven Identification Method of Hinge Joint Damage under Moving Vehicle Excitation
Publisher: ASCE
Abstract: The hinge joint is an important and fragile component of assembled hollow-slab bridges. Therefore, it is necessary to regularly identify hinge joint damage for guaranteeing the safety of assembled hollow-slab bridges. ...