Analytical prediction of delayed Hopf bifurcations in a simplified stochastic model of reed musical instruments

• Published in: Nonlinear dynamics Vol. 107; no. 4; pp. 3291 - 3312
• Main Authors: Bergeot, Baptiste, Vergez, Christophe
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.03.2022; Springer Verlag
• Subjects: Acoustics; Automotive Engineering; Chaotic Dynamics; Classical Mechanics; Control; Dynamical Systems; Engineering; Mechanical Engineering; Mechanics; Nonlinear Sciences; Original Paper; Physics; Vibration; Bifurcation delay; Dynamic bifurcation; Self-sustained oscillations; Stochastic averaging; Single reed instruments
• ISSN: 0924-090X; 1573-269X
• DOI: 10.1007/s11071-021-07104-9

This paper investigates the dynamic behavior of a simplified single reed instrument model subject to a stochastic forcing of white noise type when one of its bifurcation parameters (the dimensionless blowing pressure) increases linearly over time and crosses the Hopf bifurcation point of its trivial equilibrium position. The stochastic slow dynamics of the model is first obtained by means of the stochastic averaging method. The resulting averaged system reduces to a non-autonomous one-dimensional Itô stochastic differential equation governing the time evolution of the mouthpiece pressure amplitude. Under relevant approximations the latter is solved analytically treating separately cases where noise can be ignored and cases where it cannot. From that, two analytical expressions of the bifurcation parameter value for which the mouthpiece pressure amplitude gets its initial value back are deduced. These special values of the bifurcation parameter characterize the effective appearance of sound in the instrument and are called deterministic dynamic bifurcation point if the noise can be neglected and stochastic dynamic bifurcation point otherwise. Finally, for illustration and validation purposes, the analytical results are compared with direct numerical integration of the model in both deterministic and stochastic situations. In each considered case, a good agreement is observed between theoretical results and numerical simulations, which validates the proposed analysis.