Literature DB >> 17187805

Mechanical stress during phonation in a self-oscillating finite-element vocal fold model.

Chao Tao1, Jack J Jiang.   

Abstract

The stress information during phonation in the vocal folds is helpful in understanding the etiologies of vocal trauma and its related vocal diseases, such as nodules. In this paper, a self-oscillating finite-element model, which combines aerodynamic properties, tissue mechanics, airflow-tissue interactions, and vocal fold collisions, was used to simulate the vocal fold vibration during phonation. The spatial and temporal characteristics of mechanical stress in the vocal folds were predicted by this model. Temporally, it was found that mechanical stress periodically undulates with vibration of the vocal folds and that vocal fold impact causes a jump in the normal stress value. Spatially, the normal stress is significantly higher on the vocal fold surface than inside of the vocal folds. At the midpoint of the medial surface, the peak-to-peak amplitude of the normal stress reaches its maximum value. Using different lung pressures (0-1.5kPa) to drive the self-oscillating model, we found that lower lung pressure can effectively decrease the mechanical stress in the vocal folds. This study supports the fatigue damage hypothesis of vocal trauma. With this hypothesis and the numerical simulation in this study, the clinical observations of vocal fold trauma risk can be explained. This implies the mechanical stress predicted by this self-oscillating model could be valuable for predicting, preventing, and treating vocal fold injury.

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Year:  2006        PMID: 17187805     DOI: 10.1016/j.jbiomech.2006.10.030

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  21 in total

1.  Reducing the number of vocal fold mechanical tissue properties: evaluation of the incompressibility and planar displacement assumptions.

Authors:  Douglas D Cook; Eric Nauman; Luc Mongeau
Journal:  J Acoust Soc Am       Date:  2008-12       Impact factor: 1.840

2.  Ranking vocal fold model parameters by their influence on modal frequencies.

Authors:  Douglas D Cook; Eric Nauman; Luc Mongeau
Journal:  J Acoust Soc Am       Date:  2009-10       Impact factor: 1.840

3.  Sensitivity of vocal fold vibratory modes to their three-layer structure: implications for computational modeling of phonation.

Authors:  Q Xue; X Zheng; S Bielamowicz; R Mittal
Journal:  J Acoust Soc Am       Date:  2011-08       Impact factor: 1.840

4.  Magnetic resonance imaging-based measurement of internal deformation of vibrating vocal fold models.

Authors:  Cassandra J Taylor; Grayson J Tarbox; Bradley D Bolster; Neal K Bangerter; Scott L Thomson
Journal:  J Acoust Soc Am       Date:  2019-02       Impact factor: 1.840

5.  Vocal fold contact pressure in a three-dimensional body-cover phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

6.  Validation of a flow-structure-interaction computation model of phonation.

Authors:  Pinaki Bhattacharya; Thomas Siegmund
Journal:  J Fluids Struct       Date:  2014-07-01       Impact factor: 2.917

7.  Modeling the Pathophysiology of Phonotraumatic Vocal Hyperfunction With a Triangular Glottal Model of the Vocal Folds.

Authors:  Gabriel E Galindo; Sean D Peterson; Byron D Erath; Christian Castro; Robert E Hillman; Matías Zañartu
Journal:  J Speech Lang Hear Res       Date:  2017-09-18       Impact factor: 2.297

8.  Combining multiobjective optimization and cluster analysis to study vocal fold functional morphology.

Authors:  Anil Palaparthi; Tobias Riede; Ingo R Titze
Journal:  IEEE Trans Biomed Eng       Date:  2014-04-22       Impact factor: 4.538

9.  Permeability of canine vocal fold lamina propria.

Authors:  Jacob P Meyer; Anton A Kvit; Erin E Devine; Jack Jiang
Journal:  Laryngoscope       Date:  2014-12-10       Impact factor: 3.325

10.  Subject-Specific Computational Modeling of Evoked Rabbit Phonation.

Authors:  Siyuan Chang; Carolyn K Novaleski; Tsuyoshi Kojima; Masanobu Mizuta; Haoxiang Luo; Bernard Rousseau
Journal:  J Biomech Eng       Date:  2016-01       Impact factor: 2.097

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