- Nationality: Spanish
PhD Thesis
GPU accelerated Hybrid Discontinuous Galerkin Framework: Development, Validation and Application.
Supervisors
Ceren Gürkan (UC3M) & Ignacio Andreu Angulo (UC3M)
Abstract
This thesis focuses on developing an in-house GPU-accelerated Hybridizable Discontinuous Galerkin (HDG) solver for fluid dynamics applications, with a focus on the simulation of complex flow phenomena around vertical-axis wind turbines (VAWTs). While the solver is intended as a general purpose framework for a wide range of fluid dynamics problems, its capabilities will be demonstrated through realistic wind turbine aerodynamics simulations to support aerodynamic design optimization.
PhD in Aerospace Engineering UC3M 