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The Chaotic Voice: Nonlinear Fluid-Structure Interaction in Abnormal Phonation
University of Registration: University of Birmingham
BBSRC Research Themes:
Project Outline
Human voice production emerges from the complex interaction between airflow from the lungs, the nonlinear vibrations of the vocal folds, and acoustic resonances of the vocal tract. In normal phonation, this interaction yields nearly periodic oscillations that produce a stable and harmonic sound. However, in pathological cases such as vocal fold paralysis, nodules, or asymmetry, this delicate balance is disrupted, leading to irregular, noisy, and often chaotic vibrations. Such abnormal phonation manifests clinically through measures such as jitter, shimmer, and increased spectral noise; however, the mechanistic origins of these phenomena remain insufficiently understood. Capturing the chaotic dynamics of phonation requires resolving the strongly coupled, nonlinear fluid-structure interaction (FSI) between glottal airflow and deformable vocal fold tissue at a fidelity beyond the reach of traditional reduced-order models.
This project addresses this gap by developing high-fidelity, GPU-accelerated simulations of abnormal phonation. A three-dimensional computational framework will couple an incompressible Navier–Stokes fluid solver with a nonlinear finite element model of vocal fold tissue, represented as a multi-layered, anisotropic, hyperelastic structure. Immersed boundary or sharp-interface methods will be employed to resolve large deformations and the intricate vortex-structure interactions that drive irregular vocal fold motion. Systematic parameter studies will explore the influence of tissue stiffness, asymmetry, geometry, and subglottal pressure on the transition from periodic oscillations to chaotic phonation. By linking biomechanical changes to observed voice instabilities, the research will provide a mechanistic understanding of how pathology alters phonatory dynamics. Ultimately, the work will deliver predictive tools for diagnosing and treating vocal disorders, inform surgical planning, and inspire the design of next-generation voice prostheses.