Hybrid vibro-acoustics modelling for the auralization of EV components

The KU Leuven Mecha(tro)nic System Dynamics (LMSD) and the Campus De Nayer are searching for a research engineer to join its team.

Project

The recruited doctoral candidate will perform research based on the following objectives: 

Develop a physics-based baseline time domain model for vibro-acoustic components using FEM/BEM and reduced-order modelling techniques. 

Fuse sparse microphone or accelerometer data with model prediction enabling robust real time field reconstruction. Within this objective, techniques such as dynamic reduced order models, Kalman filtering and Physics Informed neural operators/networks will/can be employed. 

Exploit the reconstructed field to design a calibration (neural) model that bridges the gap between the physics-based prediction and the corrected field, ensuring physical interpretability and data adaptivity. Operator inference strategies can/will be employed to infer the properties ...