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

Area of Science:

• Biomechanics
• Computational Fluid Dynamics
• Vocal Fold Physiology

Background:

• Current computational models for vocal fold (VF) vibration lack robust quantitative validation, limiting their clinical applicability.
• Existing models often rely on qualitative assessments, hindering their use in predictive research for voice disorders.

Purpose of the Study:

• To quantitatively validate a segregated computational model of vocal fold (VF) vibration against experimental data.
• To assess the model's ability to predict fluid-structure interaction (FSI) and mechanical stresses in the vocal folds.

Main Methods:

• Development of a segregated computational model for simulating airflow-induced vocal fold (VF) vibration.
• Quantitative validation through detailed comparisons with experimental data from a physical VF replica.
• Analysis of flow pressure, VF displacements, and mechanical stresses under various phonation conditions.

Main Results:

• The computational model accurately predicts flow pressure and VF displacements, validated against experimental measurements.
• Demonstrated self-similarity in spatial distributions of flow pressure and VF displacements, enabling normalized profiles.
• Successfully predicted VF displacements using linear superposition of computed displacement components.

Conclusions:

• The validated computational model offers a reliable tool for predicting vocal fold (VF) vibration and associated mechanical stresses.
• This quantitative validation enhances the applicability of computational models in clinical research and diagnostics for voice production.
• The model's predictive capabilities can advance understanding of phonation mechanisms and voice disorders.