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Weakly nonlinear acoustic wave propagation in a nonlinear orthotropic circular cylindrical waveguide
Vijay S Prakash1, Venkata R Sonti1
1Department of Mechanical Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India.
The Journal of the Acoustical Society of America
|December 3, 2015
Summary
This study analyzes nonlinear acoustic waves in cylindrical waveguides, finding that amplitude modulation follows the Nonlinear Schrödinger Equation (NLSE) and identifying harmonic interactions. Results validate linear terms using dispersion analysis.
Area of Science:
- Acoustics
- Solid Mechanics
- Fluid Dynamics
Background:
- Nonlinear acoustic wave propagation in orthotropic thin circular cylindrical waveguides is investigated.
- The study considers non-planar modes with small but finite amplitudes in an ideal, inviscid fluid with no mean flow.
- Donnell's nonlinear theory for thin cylindrical shells models the waveguide.
Purpose of the Study:
- To analyze amplitude modulation governed by the Nonlinear Schrödinger Equation (NLSE) and its stability.
- To identify frequencies of higher harmonic interactions between primary waves and their harmonics.
- To validate the linear terms in the NLSE derived from asymptotic analysis.
Main Methods:
- Approximate solutions for acoustic velocity potential using the method of multiple scales (MMS) in space and time.
- Third-order calculations of the small parameter.
- Asymptotic analysis of the dispersion equation.
Main Results:
- Amplitude modulation is governed by the NLSE at specific frequencies, with the nonlinear term's sign determining stability.
- Frequencies of higher harmonic interactions were identified.
- Linear terms in the NLSE were validated through asymptotic analysis of the dispersion equation.
Conclusions:
- The study successfully met all objectives, providing insights into nonlinear acoustic wave behavior in cylindrical waveguides.
- The findings contribute to understanding wave stability and harmonic interactions in such systems.
- The validation of linear terms using dispersion analysis confirms the accuracy of the MMS approach.
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