DRG Seminar – Methodologies for Biot Parameter Measurement and Machine-Induced Noise Prediction

Presenter: Dr Krisztian Horvath
Institution: Széchenyi István University, Hungary

Notes: NVH properties, their experimental assessment and their virtual prediction, are gaining increasing attention. Sound insulation mostly relies on porous materials, whose acoustic behavior is characterized by their Biot parameters. Accurate simulation results require precise experimental determination of these parameters as they are inputs for finite element models. Although well-established classical measurement methodologies exist, the experimental identification of some parameters suffer from inaccuracies. It is discovered how the load frequency, the overcompression and the material inhomogeneities amongst other factors affects the identification of the storage modulus, airflow resistivity, damping and other parameters. Machine learning approaches are emerging alongside classical methods, offering new research possibilities. Preliminary results on image-based Biot parameter identification are presented. Finally, further research directions are outlined concerning Biot parameter identification, wind turbine NVH challenges, and big data analysis.