The role of glottal surface adhesion on vocal folds biomechanics
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  • 作者:Pinaki Bhattacharya ; Thomas Siegmund
  • 关键词:Phonation ; Vocal fold ; Adhesion ; Airway surface liquid ; Computer model
  • 刊名:Biomechanics and Modeling in Mechanobiology
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:14
  • 期:2
  • 页码:283-295
  • 全文大小:789 KB
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  • 刊物类别:Engineering
  • 刊物主题:Theoretical and Applied Mechanics
    Biomedical Engineering
    Mechanics
    Biophysics and Biomedical Physics
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1617-7940
文摘
The airway surface liquid (ASL) is a very thin mucus layer and covers the vocal fold (VF) surface. Adhesion mediated by the ASL occurs during phonation as the VFs separate after collision. Such adhesion is hypothesized to determine voice quality and health. However, biomechanical insights into the adhesive processes during VF oscillation are lacking. Here, a computational study is reported on self-sustained VF vibration involving contact and adhesion. The VF structural model and the glottal airflow are considered fully three-dimensional. The mechanical behavior of the ASL is described through a constitutive traction–separation law where mucosal cohesive strength, cohesive energy, and rupture length enter. Cohesive energy values considered are bound below by the cohesive energy of water at standard temperature and pressure. Cohesive strength values considered are bound above by prior reported data on the adhesive strength of mucosal surface of rat small intestine. This model introduces a mechanical length scale into the analysis. The sensitivity of various aspects of VF dynamics such as flow-declination rate, VF separation under adhesive condition, and formation of multiple local fluid bridges is determined in relation to specific ASL adhesive properties. It is found that for the ASL considered here, the characteristics of the VF separation process are of debond type. Instabilities lead to the breakup of the bond area into several smaller bond patches. Such finding is consistent with in vivo observations.

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