- Shear Strength of Steel Fiber-Reinforced Concrete Beams and One-Way Slabs. Dans: ACI Structural Journal. :
- A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS. Dans: Structures, v. 61 (mars 2024). (2024):
- Automated analysis and design for recycled aggregate reinforced concrete beams. Dans: Structural Concrete, v. 25, n. 1 (janvier 2024). (2024):
- Data-driven machine learning methodology for designing slender FRP-RC columns. Dans: Structures, v. 57 (novembre 2023). (2023):
- A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms. Dans: Structures, v. 55 (septembre 2023). (2023):
- A Horizontal Stiffener Detailing for Shear Links at the Link-to-Column Connection in Eccentrically Braced Frames. Dans: Journal of Structural Engineering (ASCE), v. 149, n. 9 (septembre 2023). (2023):
- Structural performance of buried reinforced concrete pipelines under deep embankment soil. Dans: Construction Innovation, v. 24, n. 5 (juin 2023). (2023):
- Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups. Dans: Structures, v. 52 (juin 2023). (2023):
- Shear strength of circular concrete-filled tube (CCFT) members using human-guided artificial intelligence approach. Dans: Engineering Structures, v. 282 (mai 2023). (2023):
- New Reinforcement Configuration for Achieving High-Ductility and High-Strength Rectangular Squat Structural Walls. Dans: ACI Structural Journal, v. 120, n. 1 (janvier 2023). (2023):
- (2022): Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction Approach. Dans: Buildings, v. 12, n. 8 (31 juillet 2022).
- (2022): Machine Learning-Based Model for Predicting the Shear Strength of Slender Reinforced Concrete Beams without Stirrups. Dans: Buildings, v. 12, n. 8 (31 juillet 2022).
- You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concrete. Dans: Construction and Building Materials, v. 330 (mai 2022). (2022):
- ColumnsNet: Neural Network Model for Constructing Interaction Diagrams and Slenderness Limit for FRP-RC Columns. Dans: Journal of Structural Engineering (ASCE), v. 148, n. 8 (août 2022). (2022):
- Data-Driven Flexural Stiffness Model of FRP-Reinforced Concrete Slender Columns. Dans: Journal of Composites for Construction, v. 26, n. 3 (juin 2022). (2022):
- Gene expression model to estimate the overstrength ratio of short links. Dans: Structures, v. 37 (mars 2022). (2022):
- Slenderness limit of FRP-confined rectangular concrete columns. Dans: Structures, v. 38 (avril 2022). (2022):
- Innovative and reliable model for shear strength of steel fibers reinforced concrete beams. Dans: Structures, v. 32 (août 2021). (2021):