A one-dimensional flow model enhanced by machine learning for simulation of vocal fold vibration
Zheng Li,
Ye Chen,
Siyuan Chang
et al.
Abstract:We describe a one-dimensional (1D) unsteady and viscous flow model that is derived from the momentum and mass conservation equations, and to enhance this physics-based model, we use a machine learning approach to determine the unknown modeling parameters. Specifically, we first construct an idealized larynx model and perform ten cases of three-dimensional (3D) fluid-structure interaction (FSI) simulations. The flow data are then extracted to train the 1D flow model using a sparse identification approach for no… Show more
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