- An explainable machine learning approach to predict the compressive strength of graphene oxide-based concrete. Dans: Construction and Building Materials, v. 449 (octobre 2024). (2024):
- Experimental investigation of band-beam slabs subjected to close-range blast loading. Dans: Engineering Structures, v. 309 (juin 2024). (2024):
- Use of explainable machine learning models in blast load prediction. Dans: Engineering Structures, v. 312 (août 2024). (2024):
- Abrasion and Strength of high percentage Graphene Oxide (GO) Incorporated Concrete. Dans: Electronic Journal of Structural Engineering, v. 22, n. 1 (mai 2022). (2022):
- Wind loads on a super-tall slender structure: A validation of an uncoupled fluid-structure interaction (FSI) analysis. Dans: Journal of Building Engineering, v. 35 (mars 2021). (2021):
- Comparison between an uncoupled one-way and two-way fluid structure interaction simulation on a super-tall slender structure. Dans: Engineering Structures, v. 229 (février 2021). (2021):
- An uncoupled fluid structure interaction method in the assessment of structural responses of tall buildings. Dans: Structures, v. 25 (juin 2020). (2020):
- Numerical investigation of scale resolved turbulence models (LES, ELES and DDES) in the assessment of wind effects on supertall structures. Dans: Journal of Building Engineering, v. 25 (septembre 2019). (2019):
- Comparison of Reynolds Averaging Navier-Stokes (RANS) turbulent models in predicting wind pressure on tall buildings. Dans: Journal of Building Engineering, v. 21 (janvier 2019). (2019):