- Machine learning tools to improve nonlinear modeling parameters of RC columns. Dans: Journal of Building Engineering, v. 84 (mai 2024). (2024):
- Artificial neural network model to estimate the long-term carbonation depth of concrete exposed to natural environments. Dans: Journal of Building Engineering, v. 74 (septembre 2023). (2023):
- Calibrating equations to predict the compressive strength of FRP-Confined columns using optimized neural network model. Dans: Structures, v. 56 (octobre 2023). (2023):
- Non-linear modeling parameters for new construction RC columns. Dans: Frontiers in Built Environment, v. 9 (février 2023). (2023):
- (2022): On the Seismic Evaluation of Steel Frames Laterally Braced with Perforated Steel Plate Shear Walls Considering Semi-Rigid Connections. Dans: Buildings, v. 12, n. 9 (16 septembre 2022).
- Seismic assessment of irregular RC frames with tall ground story incorporating nonlinear soil–structure interaction. Dans: Structures, v. 41 (juillet 2022). (2022):