- Prediction of RC T-Beams Shear Strength Based on Machine Learning. Dans: International Journal of Concrete Structures and Materials, v. 18, n. 1 (2 janvier 2024). (2024):
- Experimental and numerical investigations of the shear performance of reinforced concrete deep beams strengthened with hybrid SHCC-mesh. Dans: Case Studies in Construction Materials, v. 21 (décembre 2024). (2024):
- Experimental and numerical analysis of deep beams with openings strengthened with galvanized corrugated and flat steel sheets. Dans: Case Studies in Construction Materials, v. 21 (décembre 2024). (2024):
- Compressive behavior of eco-friendly concrete containing glass waste and recycled concrete aggregate using experimental investigation and machine learning techniques. Dans: Construction and Building Materials, v. 436 (juillet 2024). (2024):
- Strengthening of reinforced concrete columns incorporating different configurations of stainless-steel plates. Dans: Structures, v. 64 (juin 2024). (2024):
- Predicting the web crippling capacity of cold-formed steel lipped channels using hybrid machine learning techniques. Dans: Engineering Structures, v. 309 (juin 2024). (2024):
- (2023): Elastic Buckling of Prismatic Web Plate under Shear with Simply-Supported Boundary Conditions. Dans: Buildings, v. 13, n. 11 (26 octobre 2023).
- Numerical simulation and design of circular steel-reinforced concrete-filled steel tubular short columns under axial loading. Dans: Magazine of Concrete Research, v. 76, n. 6 (mars 2024). (2024):
- Nonlinear analysis of square steel‐reinforced concrete‐filled steel tubular short columns considering local buckling. Dans: Structural Concrete, v. 25, n. 1 (janvier 2024). (2024):
- ANN model for predicting the elastic critical buckling coefficients of prismatic tapered steel web plates under stress gradients. Dans: Engineering Structures, v. 294 (novembre 2023). (2023):