Holzapfel Gerhard A, Ogden Ray W, Sherifova Selda
Institute of Biomechanics, Graz University of Technology, Graz, Austria.
Norwegian University of Science and Technology (NTNU), Faculty of Engineering Science and Technology, Trondheim, Norway.
Proc Math Phys Eng Sci. 2019 Apr;475(2224):20180736. doi: 10.1098/rspa.2018.0736. Epub 2019 Apr 3.
Collagen fibres within fibrous soft biological tissues such as artery walls, cartilage, myocardiums, corneas and heart valves are responsible for their anisotropic mechanical behaviour. It has recently been recognized that the dispersed orientation of these fibres has a significant effect on the mechanical response of the tissues. Modelling of the dispersed structure is important for the prediction of the stress and deformation characteristics in (patho)physiological tissues under various loading conditions. This paper provides a timely and critical review of the continuum modelling of fibre dispersion, specifically, the angular integration and the generalized structure tensor models. The models are used in representative numerical examples to fit sets of experimental data that have been obtained from mechanical tests and fibre structural information from second-harmonic imaging. In particular, patches of healthy and diseased aortic tissues are investigated, and it is shown that the predictions of the models fit very well with the data. It is straightforward to use the models described herein within a finite-element framework, which will enable more realistic (and clinically relevant) boundary-value problems to be solved. This also provides a basis for further developments of material models and points to the need for additional mechanical and microstructural data that can inform further advances in the material modelling.
在诸如动脉壁、软骨、心肌、角膜和心脏瓣膜等纤维状软生物组织中的胶原纤维,决定了它们的各向异性力学行为。最近人们认识到,这些纤维的分散取向对组织的力学响应有显著影响。对分散结构进行建模,对于预测各种加载条件下(病理)生理组织中的应力和变形特性非常重要。本文及时且批判性地综述了纤维分散的连续介质建模,特别是角积分和广义结构张量模型。这些模型用于具有代表性的数值示例中,以拟合从力学测试获得的实验数据集以及来自二次谐波成像的纤维结构信息。特别地,对健康和患病主动脉组织的样本进行了研究,结果表明模型的预测与数据非常吻合。在有限元框架内使用本文所述的模型很简单,这将能够解决更现实(且与临床相关)的边值问题。这也为材料模型的进一步发展提供了基础,并指出需要更多的力学和微观结构数据,以推动材料建模的进一步发展。