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7 publication(s) trouvée(s)
Article scientifique
Serviceability design charts for partially prestressed high-strength concrete girders
This paper presents the development of serviceability-based design charts for partially prestressed high-strength concrete (HSC) girders, with a focus on …
Article scientifique
Transparent AI for Structural Engineering: Explainable Shear Strength Prediction in SFRC Beams Without Transverse Reinforcement
Article scientifique
Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections
The increasing adoption of machine learning (ML) in fiber-reinforced polymer (FRP) composite design has led to a reliance on black-box …
Article scientifique
Prediction of the axial compression capacity of stub CFST columns using machine learning techniques
Concrete-filled steel tubular (CFST) columns have extensive applications in structural engineering due to their exceptional load-bearing capability and ductility. However, …
Article scientifique
Prediction of the axial compression capacity of stub CFST columns using machine learning techniques
Abstract Concrete-filled steel tubular (CFST) columns have extensive applications in structural engineering due to their exceptional load-bearing capability and ductility. …
Article scientifique
Application of machine learning models in the capacity prediction of RCFST columns
Rectangular concrete-filled steel tubular (RCFST) columns are widely used in structural engineering due to their excellent load-carrying capacity and ductility. …
Article scientifique
Unboxing machine learning models for concrete strength prediction using XAI
Abstract Concrete is a cost-effective construction material widely used in various building infrastructure projects. High-performance concrete, characterized by strength and …