1998
DOI: 10.1006/jsvi.1998.1708
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Implementation and Experimental Validation of a New Viscothermal Acoustic Finite Element for Acousto-Elastic Problems

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Cited by 68 publications
(64 citation statements)
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“…A direct application of these methods is not appropriate for the system considered in this study because the viscous boundary layer occupies a large fraction of the 110-m duct height, causing these approaches to underestimate the viscous fluid damping. The finite element model described herein is taken from Beltman et al (23). This model couples a thin, viscous, compressible acoustic medium to a structure, differing from the majority of cochlear models by focusing on viscous fluid effects.…”
Section: Modelingmentioning
confidence: 99%
“…A direct application of these methods is not appropriate for the system considered in this study because the viscous boundary layer occupies a large fraction of the 110-m duct height, causing these approaches to underestimate the viscous fluid damping. The finite element model described herein is taken from Beltman et al (23). This model couples a thin, viscous, compressible acoustic medium to a structure, differing from the majority of cochlear models by focusing on viscous fluid effects.…”
Section: Modelingmentioning
confidence: 99%
“…Beltman et al [37] also presented an acoustic Finite Element (FE) for layers based on the LRF model. In this formulation, the velocity and temperature profiles across the thickness of the layer are solved analytically from the LRF equations while the equation for propagation behavior is discretized using a finite element method.…”
Section: (Lrf) Model With a Numerical Solution Tomentioning
confidence: 99%
“…The equation for pressure, describing behavior in propagation direction, can be solved analytically. In contrast, for straight layers of arbitrary shape the equations for pressure have to be solved numerically (for instance with FE [37] or Trefftz [21] method), while the equations describing the temperature and velocity profiles across the layer can be solved analytically. Naturally, obtaining the solution to the full set of equations in these ways requires more computational effort than solving a purely analytical LRF model.…”
Section: (B)(c)(d) Lrf Modelsmentioning
confidence: 99%
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