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用于模拟近不可压缩横观各向同性材料中波传播的应力-应变关系的参数化。

Parameterization of the stress-strain relation for modeling wave propagation in nearly incompressible transversely isotropic materials.

作者信息

Jin Felix Q, Rouze Ned C, Nightingale Kathryn R, Palmeri Mark L

机构信息

Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA.

出版信息

J Acoust Soc Am. 2024 Dec 1;156(6):3821-3837. doi: 10.1121/10.0034557.

Abstract

The stress-strain relation in a transversely isotropic (TI) material is described by five independent parameters. In the incompressible limit, only three parameters are required to describe shear wave propagation. Existing material parameterization models are not ideal for the analysis of wave propagation in the nearly incompressible TI (NITI) regime due to difficult-to-interpret parameters, complicated forms of the stiffness matrix elements, or the lack of five independent parameters. This study describes a new parameterization model for a general, TI material that uses the bulk modulus K, shear moduli μT and μL, a modulus-like term μE, and a new parameter η. In the proposed parameterization model, each parameter has a clear interpretation related to compressibility and shear wave propagation. The incompressible limit is represented by the limit K → ∞. Wave speeds and polarizations are derived and evaluated in both incompressible and NITI regimens. First-order NITI corrections are shown to be inversely proportional to the ratio of bulk modulus to shear moduli. In biological soft tissues, this ratio is approximately 106. NITI corrections depend on all five independent parameters; however, the small scale of these corrections validates previous studies that have assumed particular values for the parameter η.

摘要

横观各向同性(TI)材料中的应力 - 应变关系由五个独立参数描述。在不可压缩极限情况下,仅需三个参数来描述剪切波传播。由于参数难以解释、刚度矩阵元素形式复杂或缺乏五个独立参数,现有的材料参数化模型对于分析近不可压缩TI(NITI)状态下的波传播并不理想。本研究描述了一种针对一般TI材料的新参数化模型,该模型使用体积模量K、剪切模量μT和μL、一个类似模量的项μE以及一个新参数η。在所提出的参数化模型中,每个参数都与压缩性和剪切波传播有明确的关联解释。不可压缩极限由极限K → ∞表示。在不可压缩和NITI状态下均推导并评估了波速和偏振。一阶NITI修正被证明与体积模量与剪切模量之比成反比。在生物软组织中,该比值约为106。NITI修正取决于所有五个独立参数;然而,这些修正的规模较小,验证了先前对参数η假设特定值的研究。

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