Institute of Biomechanics, Graz University of Technology, Stremayrgasse 16-II, 8010 Graz, Austria.
School of Mathematics and Statistics, University of Glasgow, University Place, Glasgow G12 8SQ, Scotland, UK.
J R Soc Interface. 2018 Jan;15(138). doi: 10.1098/rsif.2017.0766.
Recently, micro-sphere-based methods derived from the angular integration approach have been used for excluding fibres under compression in the modelling of soft biological tissues. However, recent studies have revealed that many of the widely used numerical integration schemes over the unit sphere are inaccurate for large deformation problems even without excluding fibres under compression. Thus, in this study, we propose a discrete fibre dispersion model based on a systematic method for discretizing a unit hemisphere into a finite number of elementary areas, such as spherical triangles. Over each elementary area, we define a representative fibre direction and a discrete fibre density. Then, the strain energy of all the fibres distributed over each elementary area is approximated based on the deformation of the representative fibre direction weighted by the corresponding discrete fibre density. A summation of fibre contributions over all elementary areas then yields the resultant fibre strain energy. This treatment allows us to exclude fibres under compression in a discrete manner by evaluating the tension-compression status of the representative fibre directions only. We have implemented this model in a finite-element programme and illustrate it with three representative examples, including simple tension and simple shear of a unit cube, and non-homogeneous uniaxial extension of a rectangular strip. The results of all three examples are consistent and accurate compared with the previously developed continuous fibre dispersion model, and that is achieved with a substantial reduction of computational cost.
最近,基于角积分方法的微球方法已被用于排除在软生物组织建模中受压纤维。然而,最近的研究表明,即使不排除受压纤维,许多在单位球上广泛使用的数值积分方案对于大变形问题也是不准确的。因此,在本研究中,我们提出了一种基于系统方法的离散纤维弥散模型,该方法将单位半球离散为有限数量的基本区域,如球面三角形。在每个基本区域上,我们定义一个代表性纤维方向和一个离散纤维密度。然后,根据变形的代表性纤维方向乘以相应的离散纤维密度,来近似所有分布在每个基本区域的纤维的应变能。然后通过对所有基本区域的纤维贡献进行求和,得到纤维的总应变能。这种处理方法通过仅评估代表性纤维方向的拉伸-压缩状态,以离散的方式排除受压纤维。我们已经将该模型实现到一个有限元程序中,并通过三个具有代表性的例子来说明,包括单位立方体的简单拉伸和简单剪切,以及矩形条的非均匀单轴拉伸。与之前开发的连续纤维弥散模型相比,所有三个例子的结果都是一致和准确的,并且计算成本显著降低。