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Elastic-viscoplastic modeling of soft biological tissues using a mixed finite element formulation based on the relative deformation gradient

机译:基于相对变形梯度的混合有限元公式化的软生物组织的弹粘塑性建模

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摘要

The characteristic highly nonlinear, time-dependent, and often inelastic material response of soft biological tissues can be expressed in a set of elastic-viscoplastic constitutive equations. The specific elastic-viscoplastic model for soft tissues proposed by Rubin and Bodner (2002) is generalized with respect to the constitutive equations for the scalar quantity of the rate of inelasticity and the hardening parameter in order to represent a general framework for elastic-viscoplastic models. A strongly objective integration scheme and a new mixed finite element formulation were developed based on the introduction of the relative deformation gradient-the deformation mapping between the last converged and current configurations. The numerical implementation of both the generalized framework and the specific Rubin and Bodner model is presented. As an example of a challenging application of the new model equations, the mechanical response of facial skin tissue is characterized through an experimental campaign based on the suction method. The measurement data are used for the identification of a suitable set of model parameters that well represents the experimentally observed tissue behavior. Two different measurement protocols were defined to address specific tissue properties with respect to the instantaneous tissue response, inelasticity, and tissue recovery.
机译:可以用一组弹性粘塑性本构方程来表示软生物组织的特征性高度非线性,随时间变化且通常是非弹性的材料响应。鲁宾和博德纳(Rubin and Bodner,2002)提出的软组织特定的弹粘塑性模型是针对非弹性速率的标量和硬化参数的本构方程进行推广的,以代表弹粘塑性模型的一般框架。 。在引入相对变形梯度的基础上,开发了一种强目标积分方案和新的混合有限元公式,即最后收敛和当前配置之间的变形映射。给出了广义框架和特定的Rubin and Bodner模型的数值实现。作为新模型方程式富有挑战性的应用的一个例子,面部皮肤组织的机械响应通过基于抽吸方法的实验活动来表征。测量数据用于识别一组合适的模型参数,这些参数很好地代表了实验观察到的组织行为。定义了两种不同的测量方案,以解决有关瞬时组织反应,无弹性和组织恢复的特定组织特性。

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