04.1 - Aerospace Grade Materials, Structural Analysis, Fatigue and Damage Tolerance
MACHINE LEARNING AND NUMERICAL OPTIMIZATION OF BIO-INSPIRED 3D-PRINTABLE SANDWICH CORE CELL
B. Omede'¹, A.M. Grande¹; ¹Politecnico di Milano, Italy
This article delves into the increasing need for lightweight, energy-absorbing structures, with a focus on additive manufacturing. It integrates Machine Learning (ML) in the crashworthiness optimization of bio-inspired geometries. A circular elytra-inspired design undergoes optimization through ML and genetic algorithms, providing a cost-effective approach to advanced structural engineering solutions.