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A Structural Multi-Mechanism Damage Model for Cerebral Arterial Tissue

机译:脑动脉组织的多机制损伤模型。

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Early stage cerebral aneurysms are characterized by the disruption of the internal elastic lamina. The cause of this breakdown is still not understood, but it has been conjectured to be due to fatigue failure and/or by a breakdown in homeostatic mechanisms in the wall arising from some aspect of the local hemodynamics and wall tension. We propose to model this disruption using a structural damage model. It is built on a previously introduced nonlinear, inelastic multi-mechanism model for cerebral arteries (2005, "An Inelastic Multi-Mechanism Constitutive Equation for Cerebral Arterial Tissue," Biomech. Model. Mechanobiol, 4(4), pp. 235-248), as well as a recent generalization to include the wall anisotropy (2009, "A Structural Multi-Mechanism Constitutive Equation for Cerebral Arterial Tissue," Int. J. Solids Struct., 46(14-15), pp. 2920-2928). The current model includes subfailure damage of the elastin, represented by changes in the tissue mechanical properties and unloaded reference length. A structural model is used to characterize the gradual degradation, failure of elastin, and recruitment of anisotropic collagen fibers. The collagen fibers are arranged in two helically oriented families with dispersion in their orientation. Available inelastic experimental data for cerebral arteries are used to evaluate the constitutive model. It is then implemented in a commercial finite element analysis package and validated using analytical solutions with representative values for cerebral arterial tissue.
机译:早期脑动脉瘤的特征在于内部弹性层的破坏。这种破裂的原因仍不明了,但据推测是由于疲劳失效和/或由于局部血液动力学和壁张力的某些方面引起的壁内稳态机制的破裂。我们建议使用结构损伤模型对这种破坏进行建模。它建立在先前引入的用于脑动脉的非线性,非弹性多机制模型上(2005,“脑动脉组织的非弹性多机制本构方程”,生物力学模型,生物力学,4(4),第235-248页)。 )以及最近的概括,包括壁各向异性(2009年,“脑动脉组织的结构多机理本构方程”,Int。J. Solids Struct。,46(14-15),第2920-2928页) )。当前模型包括弹性蛋白的亚失效损伤,其以组织力学性质和空载参考长度的变化表示。使用结构模型来表征逐渐降解,弹性蛋白的破坏和各向异性胶原纤维的募集。胶原纤维排列成两个螺旋取向的家族,其取向分散。脑动脉可用的无弹性实验数据用于评估本构模型。然后在商业有限元分析工具包中实施,并使用具有脑动脉组织代表性值的分析解决方案进行验证。

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