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兔声带振动的特定主体计算流体-结构相互作用建模

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

作者信息

Avhad Amit, Li Zheng, Wilson Azure, Sayce Lea, Chang Siyuan, Rousseau Bernard, Luo Haoxiang

机构信息

Department of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN 37235, USA.

Department of Communication Science and Disorders, University of Pittsburgh, 4200 Fifth Avenue, Pittsburgh, PA 15260, USA.

出版信息

Fluids (Basel). 2022 Mar;7(3). doi: 10.3390/fluids7030097. Epub 2022 Mar 6.

Abstract

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.

摘要

基于先前重建的兔喉声带模型,对特定个体的声带振动进行了完整的三维(3D)流固耦合(FSI)研究。我们的主要关注点是声带的振动特性、非定常三维流场,以及与最近开发的包含机器学习的一维声门流模型进行比较。三维FSI模型在声带组织的有限元模型和流动的不可压缩纳维-斯托克斯方程之间应用了强耦合。在体内发声实验后,从磁共振成像(MRI)扫描重建的五个不同的兔喉样本用于FSI模拟。这些样本具有不同的几何形状和在实验中测量的不同入口压力。此外,先前已为每个单独的样本确定了声带组织的材料特性。结果表明,三维流模拟的振动和声门内压力与基于一维流模型的模拟结果吻合良好。进一步的三维分析表明,声门下和声门上的几何形状在FSI过程中起着重要作用。讨论了与人类声带的流动模式相似性。这项研究支持有效地利用兔喉来理解人类发声,并将有助于指导我们未来针对声带疾病的计算研究。

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