Alberto Vilariño Tarrío

PhD Thesis

Advancing Road Vehicle Design: Machine Learning-based Aerodynamic Shape Optimization

Supervisors

Carlos Sanmiguel Vila (INTA-UC3M) & Rodrigo Castellanos (INTA)

Abstract

In the rapidly evolving automotive industry, the intricacies of aerodynamics demand fresh approaches for swift, reliable, and efficient solutions. This thesis delves into data-driven methods, offering a comprehensive perspective on optimising a road vehicle’s aerodynamic shape from a holistic point of view, minimising its aerodynamic resistance, and ensuring stability via lift balance.

Doctoral Meetings