- Explainable ensemble learning predictive model for thermal conductivity of cement-based foam. Dans: Construction and Building Materials, v. 421 (mars 2024). (2024):
- Fiber-reinforced recycled aggregate concrete with crumb rubber: A state-of-the-art review. Dans: Construction and Building Materials, v. 404 (novembre 2023). (2023):
- Flexural and bond-slip responses of reinforced concrete beams containing recycled coarse aggregate and polypropylene plastic. Dans: Journal of Building Engineering, v. 79 (novembre 2023). (2023):
- Explainable machine learning model for predicting punching shear strength of FRC flat slabs. Dans: Engineering Structures, v. 301 (février 2024). (2024):
- Design-focused Interpretable Machine Learning Models for Compressive Capacity Prediction of Gusset Plate Connections. Dans: Engineering Structures, v. 298 (janvier 2024). (2024):
- Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete. Dans: Journal of Building Engineering, v. 76 (octobre 2023). (2023):
- Numerical and analytical investigations on the flexural behaviours of composite beams of inverted-T steel section and ultra-high-performance concrete (UHPC) slab. Dans: Structures, v. 57 (novembre 2023). (2023):
- Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls. Dans: Structures, v. 51 (mai 2023). (2023):
- Shear Strength Prediction of Slender Concrete Beams Reinforced with FRP Rebar Using Data-Driven Machine Learning Algorithms. Dans: Journal of Composites for Construction, v. 27, n. 2 (avril 2023). (2023):
- Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns. Dans: Construction and Building Materials, v. 356 (novembre 2022). (2022):
- Material characterization of a historical wall by using destructive and non-destructive techniques. Dans: Structures, v. 46 (décembre 2022). (2022):
- Influence of different types of fibers on the mechanical properties of recycled waste aggregate concrete. Dans: Construction and Building Materials, v. 337 (juin 2022). (2022):
- Effectiveness of wood waste sawdust to produce medium- to low-strength concrete materials. Dans: Journal of Building Engineering, v. 44 (décembre 2021). (2021):
- Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach. Dans: Engineering Structures, v. 233 (avril 2021). (2021):
- Exploratory study on bond behavior of plain and sand coated stainless steel rebars in concrete. Dans: Structures, v. 27 (octobre 2020). (2020):
- Seismic collapse safety assessment of concrete beam-column joints reinforced with different types of shape memory alloy rebars. Dans: Journal of Building Engineering, v. 29 (mai 2020). (2020):
- Mechanical properties of recycled aggregate concrete containing crumb rubber and polypropylene fiber. Dans: Construction and Building Materials, v. 225 (novembre 2019). (2019):
- Numerical seismic performance evaluation of concrete beam-column joint reinforced with different super elastic shape memory alloy rebars. Dans: Engineering Structures, v. 194 (septembre 2019). (2019):
- Mechanical and durability properties of concrete using recycled granulated steel. Dans: Construction and Building Materials, v. 123 (octobre 2016). (2016):