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Time-dependent fibre reorientation of transversely isotropic continua - Finite element formulation and consistent linearization

机译:横观各向同性连续体随时间变化的纤维取向-有限元公式和一致的线性化

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摘要

Transverse isotropy is realized by one characteristic direction-for instance, the fibre direction in fibre-reinforced materials. Commonly, the characteristic direction is assumed to be constant, but in some cases-for instance, in the constitutive description of biological tissues, liquid crystals, grain orientations within polycrystalline materials or piezoelectric materials, as well as in optimization processes-it proves reasonable to consider reorienting fibre directions. Various fields can be assumed to be the driving forces for the reorientation process, for instance, mechanical, electric or magnetic fields. In this work, we restrict ourselves to reorientation processes in hyper-elastic materials driven by principal stretches. The main contribution of this paper is the algorithmic implementation of the reorientation process into a finite element framework. Therefore, an implicit exponential update of the characteristic direction is applied by using the Rodriguez formula to express the exponential term. The non-linear equations on the local and on the global level are solved by means of the Newton-Raphson scheme. Accordingly, the local update of the characteristic direction and the global update of the deformation field are consistently linearized, yielding the corresponding tangent moduli. Through implementation into a finite element code and some representative numerical simulations, the fundamental characteristics of the model are illustrated. Copyright (c) 2007 John Wiley & Sons, Ltd.
机译:横向各向同性是通过一个特征方向实现的,例如,纤维增强材料中的纤维方向。通常,假定特征方向是恒定的,但是在某些情况下,例如在生物组织的本构描述,液晶,多晶材料或压电材料中的晶粒取向以及优化过程中,它被证明是合理的。考虑重新定向纤维方向。可以假定各种场是重新定向过程的驱动力,例如,机械场,电场或磁场。在这项工作中,我们将自己局限于主要拉伸驱动的超弹性材料的重新定向过程。本文的主要贡献是将重新定向过程算法化为有限元框架。因此,通过使用Rodriguez公式来表达指数项,可以对特征方向进行隐式指数更新。通过牛顿-拉夫森(Newton-Raphson)方案求解了局部和全局一级的非线性方程。因此,特征方向的局部更新和形变场的整体更新一致地线性化,从而产生相应的切线模量。通过实现为有限元代码和一些代表性的数值模拟,说明了模型的基本特征。版权所有(c)2007 John Wiley&Sons,Ltd.

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