Subject-Specific Computational Fluid-Structure Interaction Modeling of Rabbit Vocal Fold Vibration

Fluids

Azure Wilson¹  Lea Sayce¹  Bernard Rousseau¹  Amit Avhad²  Zheng Li²  Haoxiang Luo²  Siyuan Chang² 

[1] Department of Communication Science and Disorders, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA;Department of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA;

关键词: fluid-structure interaction;    subject-specific model;    vocal fold vibration;    3D model;    phonation;    biomechanics;   

DOI  :  10.3390/fluids7030097

来源: DOAJ

【 摘 要 】

A full three-dimensional (3D) fluid-structure interaction (FSI) study of subject-specific vocal fold vibration is carried out based on the previously reconstructed vocal fold models of rabbit larynges. Our primary focuses are the vibration characteristics of the vocal fold, the unsteady 3D flow field, and comparison with a recently developed 1D glottal flow model that incorporates machine learning. The 3D FSI model applies strong coupling between the finite-element model for the vocal fold tissue and the incompressible Navier-Stokes equation for the flow. Five different samples of the rabbit larynx, reconstructed from the magnetic resonance imaging (MRI) scans after the in vivo phonation experiments, are used in the FSI simulation. These samples have distinct geometries and a different inlet pressure measured in the experiment. Furthermore, the material properties of the vocal fold tissue were determined previously for each individual sample. The results demonstrate that the vibration and the intraglottal pressure from the 3D flow simulation agree well with those from the 1D flow model based simulation. Further 3D analyses show that the inferior and supraglottal geometries play significant roles in the FSI process. Similarity of the flow pattern with the human vocal fold is discussed. This study supports the effective usage of rabbit larynges to understand human phonation and will help guide our future computational studies that address vocal fold disorders.

【 授权许可】

Unknown