1991
DOI: 10.1121/1.401912
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Comparison of numerical calculations of two Biot coefficients with analytical solutions

Abstract: The Biot theory for the acoustics of porous media contains drag and virtual mass coefficients that depend on the physical properties of the fluid and solid constituents, the frequency, and the microstructure of the porous medium. Biot derived an equation for the drag coefficient as a function of frequency by assuming cylindrical pores. In this paper, the finite element method is used to obtain values of the drag and virtual mass coefficients for face-centered cubic granular materials with three different poros… Show more

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Cited by 11 publications
(4 citation statements)
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“…b = 1/2 for spherical grain packing and 0<b<1 for other shapes. Alternative values for b were introduced for spherical or uniform cylindrical shapes by [25] and [26], respectively. The above equation suggests that the tortuosity for this type of material is basically independent of the effective pore size, but depends on the 90 way particles are arranged in the stack.…”
Section: Analytical Modelsmentioning
confidence: 99%
“…b = 1/2 for spherical grain packing and 0<b<1 for other shapes. Alternative values for b were introduced for spherical or uniform cylindrical shapes by [25] and [26], respectively. The above equation suggests that the tortuosity for this type of material is basically independent of the effective pore size, but depends on the 90 way particles are arranged in the stack.…”
Section: Analytical Modelsmentioning
confidence: 99%
“…where r ¼ 0:5 for isolated spherical particles and lies between 0 and 1 for other ellipsoidal shapes [23,29]. According to the Berryman equation, the structure factor depends on the porosity and the shape of the grains.…”
Section: ) Structure Factormentioning
confidence: 99%
“…Figure 2 shows that if pore size is indeed a linear function of porosity as indicated by Fig. 1, then permeability, as predicted by (13), will deviate significantly from log-linearity. We took the uncertainty in this parameter to be ±10 0.75 so that the Kozeny-Carmen values would be encompassed as well as the regression values.…”
Section: The Biot Model Applied To Cancellous Bonementioning
confidence: 99%
“…A value s = 0.227 was suggested by the finite element analysis of Yavari and Bedford. 13 We will calculate α assuming 0.2 ≤ s ≤ 0.3.…”
Section: The Biot Model Applied To Cancellous Bonementioning
confidence: 99%