AI-based ROM to Expedite the Study of Aeroelastic Coupling

Digital Twin is becoming an invaluable asset for any company due to the benefits it can offer. Data is the key factor to make Digital Twin feasible. This data can be either simulated or experimental, depending on the phase of the project: in the initial stage (e.g. PDR), only simulated data is available. The presentation aims to show how Leonardo is pursuing the mission of building a FEM and CFD digital twin, creating a co-simulation environment that predicts root-section loads.

Presented as part of Altair ATCx AI for Engineers 2024 conference.

The presentation is in English by default.

Duration 21 minutes.