Aeronautical, Marine, Automotive and Energy Engineering

The Aeronautical, Marine, Automotive and Energy Engineering Research Cluster develops numerical models for aerospace, marine, automotive, and energy challenges through thermo-mechanical structural simulations, fluid-structure interaction, and performance optimization to create environmentally sustainable transportation solutions.

The cluster employs reduced-order modeling (ROM) algorithms for real-time performance prediction of complex large-scale components and integrates machine learning and artificial intelligence into material and structural design processes. With a strong focus on reducing CO₂ emissions and dependence on fossil fuels, the cluster pioneers research in carbon-neutral materials, morphing materials with adaptive capabilities, and virtual testing techniques that minimize physical laboratory requirements.

Emerging areas of interest include CFD simulations of multi-rotor urban air mobility vehicles, aerodynamic noise propagation analysis around transportation infrastructure, fully coupled hydroelastic and integrated load analyses of ships and floating structures, machine-learning-based advanced fatigue algorithms that account for manufacturing effects, and the integration of innovative self-repairing materials into next-generation structural applications.