Suppr超能文献

关于加塞尔-奥格登-霍尔扎菲尔模型的拉压切换:分析与一种新的预积分建议。

On the tension-compression switch of the Gasser-Ogden-Holzapfel model: Analysis and a new pre-integrated proposal.

作者信息

Latorre Marcos, Montáns Francisco J

机构信息

Universidad Politécnica de Madrid, Escuela Técnica Superior de Ingeniería Aeronáutica y del Espacio, Plaza Cardenal Cisneros 3, 28040 Madrid, Spain.

出版信息

J Mech Behav Biomed Mater. 2016 Apr;57:175-89. doi: 10.1016/j.jmbbm.2015.11.018. Epub 2015 Nov 29.

Abstract

Many biological soft tissues are structurally composed of a mostly isotropic matrix (elastin) and fibers (collagen). These fibers are not perfectly aligned but dispersed around some referential, preferred directions. In order to account for the dispersion of the fibers, a probability distribution is assumed. The Generalized Structure Tensor (GST) models perform a pre-integration of the distribution in order to achieve improved computational efficiency. The best known model of this kind is the Gasser-Ogden-Holzapfel (GOH) model. However, in these models no singular treatment of fibers is made. Whenever they suffer compression it is usual to consider that fibers should not contribute to the overall stiffness. At this point, a switch criterion is employed. This switch criterion is important because it changes the model predictions and may also result in unphysical stress predictions or strain ranges at which no compatible equilibrium solution is found. We perform an analysis of different tension-compression switch criteria from the literature for the GOH model and show relevant physical and computational drawbacks when using these criteria. In order to overcome these drawbacks, we make a new proposal which yields continuous stress solutions. In our proposal, pre-integrated expressions given in terms of the usual set of invariants take into account an average amount of fibers working either in tension or in compression for a given deformation gradient and fiber family. Two distinct switches naturally emerge from our procedure. Furthermore, we keep the appealing GST pre-integrated approach for any proposed stored energy, including that of the GOH model.

摘要

许多生物软组织在结构上由主要为各向同性的基质(弹性蛋白)和纤维(胶原蛋白)组成。这些纤维并非完美排列,而是围绕某些参考的、优先的方向分散分布。为了考虑纤维的分散情况,假定了一种概率分布。广义结构张量(GST)模型对该分布进行预积分,以提高计算效率。这类模型中最著名的是加塞尔 - 奥格登 - 霍尔扎佩尔(GOH)模型。然而,在这些模型中没有对纤维进行奇异处理。每当它们受到压缩时,通常认为纤维对整体刚度没有贡献。此时,采用了一个切换准则。这个切换准则很重要,因为它会改变模型预测,还可能导致非物理的应力预测或找不到兼容平衡解的应变范围。我们对文献中GOH模型的不同拉压切换准则进行了分析,并展示了使用这些准则时相关的物理和计算缺陷。为了克服这些缺陷,我们提出了一个新的方案,该方案能产生连续的应力解。在我们的方案中,以通常的一组不变量给出的预积分表达式考虑了在给定变形梯度和纤维族情况下,处于拉伸或压缩状态的纤维的平均数量。我们的过程自然地出现了两个不同的切换。此外,对于任何提出的储能函数,包括GOH模型的储能函数,我们都保留了有吸引力的GST预积分方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验