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A comparison of hyperelastic constitutive models applicable to brain and fat tissues

机译:适用于脑和脂肪组织的超弹性本构模型的比较

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摘要

In some soft biological structures such as brain and fat tissues, strong experimental evidence suggests that the shear modulus increases significantly under increasing compressive strain, but not under tensile strain, whereas the apparent Young's elastic modulus increases or remains almost constant when compressive strain increases. These tissues also exhibit a predominantly isotropic, incompressible behaviour. Our aim is to capture these seemingly contradictory mechanical behaviours, both qualitatively and quantitatively, within the framework of finite elasticity, by modelling a soft tissue as a homogeneous, isotropic, incompressible, hyperelastic material and comparing our results with available experimental data. Our analysis reveals that the Fung and Gent models, which are typically used to model soft tissues, are inadequate for the modelling of brain or fat under combined stretch and shear, and so are the classical neo-Hookean and Mooney–Rivlin models used for elastomers. However, a subclass of Ogden hyperelastic models are found to be in excellent agreement with the experiments. Our findings provide explicit models suitable for integration in large-scale finite-element computations.
机译:在一些柔软的生物结构中,例如大脑和脂肪组织,有力的实验证据表明,在压缩应变增加时,剪切模量会显着增加,而在拉伸应变下则不会,而当压缩应变增加时,表观杨氏弹性模量会增加或几乎保持恒定。这些组织还表现出主要的各向同性,不可压缩的行为。我们的目标是通过将软组织建模为均质,各向同性,不可压缩的超弹性材料,并将我们的结果与可用的实验数据进行比较,从而在有限弹性的框架内定性和定量地捕获这些看似矛盾的机械行为。我们的分析表明,通常用于软组织建模的Fung和Gent模型不足以在组合拉伸和剪切作用下对大脑或脂肪进行建模,用于弹性体的经典Neo-Hookean和Mooney-Rivlin模型也是如此。 。但是,发现Ogden超弹性模型的子类与实验非常吻合。我们的发现提供了适用于大规模有限元计算中集成的显式模型。

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