2020
DOI: 10.1016/j.apacoust.2020.107237
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RETRACTED: Experimental characterization of human cancellous bone via the first ultrasonic reflected wave – Application of Biot’s theory

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Cited by 3 publications
(9 citation statements)
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“…Biot's equations are derived from linear elasticity equations governing the solid matrix, Navier-Stokes equations describing the behavior of the viscous fluid, and Darcy's law, which governs fluid flow within the porous matrix. The equations of motion for both the solid and fluid phases are expressed as follows [8,9,12]:…”
Section: Theoretical Modelmentioning
confidence: 99%
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“…Biot's equations are derived from linear elasticity equations governing the solid matrix, Navier-Stokes equations describing the behavior of the viscous fluid, and Darcy's law, which governs fluid flow within the porous matrix. The equations of motion for both the solid and fluid phases are expressed as follows [8,9,12]:…”
Section: Theoretical Modelmentioning
confidence: 99%
“…Here, α(ω) is a function of frequency called the dynamic tortuosity [10], which characterizes the viscous interactions between the fluid and the solid structure, significantly impacting acoustic wave damping in porous materials. At high frequencies, the expression for dynamic tortuosity α(ω) is given by the following [8,[10][11][12][13]: The theoretical framework we employ draws from the field of dynamic poroelasticity, originally formulated by Biot [9]. This theory provides a comprehensive and general description of the mechanical behavior of such porous media.…”
Section: Theoretical Modelmentioning
confidence: 99%
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“…The porous material is a bi-phasic medium consisting of a solid part and a fluid part that saturates the pores. When the solid part is flexible, the two phases start moving simultaneously under excitation by an acoustic wave; in this case the dynamics of the movement is well described by Biot's theory [16][17][18]. In the case of a rigid material, the solid part remains immobile and the acoustic waves propagate only in the fluid.…”
Section: Acoustical Modelmentioning
confidence: 99%
“…( 17)) depends only on the flow resistivity σ and thickness L of the medium. Our objective is to find this two parameters simultaneously, supposedly unknown, by minimizing between the simulated reflected signal given by the expression (18) and the experimental reflected signal. The inverse problem then consists in finding the flow resistivity σ and thickness L of porous samples that minimize the function: [15] in the same position as the porous sample.…”
Section: Inverse Problemmentioning
confidence: 99%