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Differential versus integral formulation of fractional hyperviscoelastic constitutive laws for brain tissue modelling

机译:用于脑组织建模的分数超粘弹性本构律的微分与积分公式

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摘要

For years, interest has been constantly growing in biological tissue modelling. Particularly, the mechanical study of the brain has become a major topic in the field of biomechanics. A global model of this organ, including a realistic mesh and suitable constitutive laws for the different tissues, would find applications in various domains such as neurosurgery, haptic device design or car manufacturing to evaluate the possible trauma due to an impact. Several constitutive models have already been designed; regarding the strong strain-rate dependence of the stressstrain curves available in the literature, we decided to describe brain tissue as a viscoelastic medium through the use of the fractional derivation operator. Thanks to this approach, we can derive a convolution-based model with the MittagLeffler function as the regularized kernel.
机译:多年来,对生物组织建模的兴趣一直在不断增长。特别地,对大脑的机械研究已经成为生物力学领域的主要主题。该器官的整体模型,包括逼真的网格和适用于不同组织的本构定律,将在神经外科,触觉设备设计或汽车制造等各个领域得到应用,以评估由于撞击可能造成的创伤。已经设计了几种本构模型。关于文献中可用的应力-应变曲线的强应变率依赖性,我们决定通过使用分数导数算子将脑组织描述为粘弹性介质。借助这种方法,我们可以使用MittagLeffler函数作为正则化内核来导出基于卷积的模型。

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