My name is Bruno Roccia, and I began working at GFI in January 2022 as a postdoctoral research fellow. The major goal of my study will be to bring the research line of datadriven computational mechanics to the field of offshore wind energy. I am from Argentina and graduated from the University of Río Cuarto with a degree in Mechanical Engineering. Later on, I received a degree in Master of Science from the same university and then a PhD degree from the University of Córdoba. Since 2015, I have been a researcher at Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina (CONICET). I really enjoy teamwork and discussions that allow for a deep and practical understanding of the problems studied. I also enjoy drinking coffee, running, trail running, outdoors, and traveling! I am really excited to be a part of this new group and work with you!

Academic article

• Roccia, Bruno Antonio; Lanzardo, Carmina Alturria; Mazzone, Fernando D. et al. (2024). On the homogeneous torsion problem for heterogeneous and orthotropic cross-sections: Theoretical and numerical aspects. (external link)
• Roccia, Bruno Antonio; Ceballos, Luis R.; Verstraete, Marcos L. et al. (2024). Development and application of a mesh generator intended for unsteady vortex-lattice method simulations of wind turbines and wind farms. (external link)
• Hente, Christian; Roccia, Bruno Antonio; Rolfes, Raimund et al. (2024). Analytical Linearization of Aerodynamic Loads in Unsteady Vortex-Lattice Method for Nonlinear Aeroelastic Applications. (external link)
• Nguyen, Hoa Thi; Roccia, Bruno Antonio; Hiemstra, René R. et al. (2024). Nonlinear dynamic analysis of shear- and torsion-free rods using isogeometric discretization and outlier removal. (external link)
• Verstraete, Marcos L.; Ceballos, Luis R.; Hente, Christian et al. (2023). Code-to-Code Benchmark for Simulation Tools Based on the Unsteady Vortex-Lattice Method. (external link)
• Roccia, Bruno Antonio; Bossio, Guillermo R; Mazzone, Fernando D et al. (2023). Modeling and stability analysis of a sliding bead from a problem-based learning perspective. (external link)

See a complete overview of publications in Cristin.

1. Roccia, B.A., Bossio, G.R., Mazzone, F.D., and Gebhardt, C.G., “Modeling and stability analysis of a sliding bead from a problem-based learning perspective,” International Journal of Mechanical Engineering Education, In Press, 2023.
2. Verstraete, M.L., Ceballos, L.R., Hente, C., Roccia, B.A., and Gebhardt, C.G., “A code-to-code benchmark for simulation tools based on the nonlinear unsteady vortex-lattice method,” Journal of Aerospace Information Systems, AIAA. Accepted, June 2023.