Leveraging a data-driven approach to simulate and experimentally validate a MIMO multiphysics vibroacoustic system
Document Type
Article
Publication Date
3-1-2022
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
The objective of the present work is to evaluate the performance of a data-driven approach to simulate a multiphysics vibroacoustic field. Of particular interest is the complex propagation of anechoic waves in a finite 1D-structure submerged in water. Experimental data from an underwater beam actuated by two macro-fiber composites (MFCs) serves as the experimental framework for the data-driven model. Next, the Vector-Fitting (VF) algorithm estimates a state-space model of the multiphysics dynamics with voltage signals to the two MFCs as inputs, and the structural and the acoustic responses as the outputs. The multi-input–multi-output data-driven model is then used to determine the parameters that result in the optimal anechoic wave, a process that was carried out previously by experimental iterations. The optimal time-domain simulations are validated with experimental results.
Publication Title
Mechanical Systems and Signal Processing
Recommended Citation
Krishnan, M.,
Sriram Malladi, V. V.,
&
Tarazaga, P.
(2022).
Leveraging a data-driven approach to simulate and experimentally validate a MIMO multiphysics vibroacoustic system.
Mechanical Systems and Signal Processing,
166.
http://doi.org/10.1016/j.ymssp.2021.108414
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/15332