arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2501.13409cond-mat.softcond-mat.mtrl-sciphysics.bio-ph
收藏

随机纤维基质中由几何驱动的力学记忆

Geometry-Driven Mechanical Memory in a Random Fibrous Matrix

Mainak Sarkar, Christina Laukaitis, Amy Wagoner Johnson

AI总结:

本文通过有限元模拟研究随机纤维基质在局部拉伸释放后的微结构演化,发现即使无塑性机制,基质仍因纤维排列梯度而发生永久重塑,表现出由复杂几何驱动的力学记忆。

摘要:

无序纤维基质由纤维的随机组装形成,为许多生物系统和生物材料提供结构框架。施加的变形会改变组成纤维的排列和应力状态,从而调节这些材料的非线性弹性响应。虽然通常假定在变形释放后纤维会恢复到原始构型,除非相邻纤维发生聚结或单根纤维发生屈服,但这一恢复过程在很大程度上仍未被探索。这些基质复杂的几何结构使人们无法完全理解释放变形是能完全恢复基质,还是会引入新的微结构变形机制。为弥补这一空白,我们研究了施加变形释放过程中基质微结构的演化。对局部拉伸下的准二维随机纤维基质进行了数值模拟,在有限元分析中将纤维建模为梁。拉伸释放后,基质表现出永久性的力学重塑,且施加的拉伸幅度越大,重塑程度越高,这表明基质将其加载历史保存为力学记忆。这一响应令人惊讶;它发生在没有显式塑性机制的情况下,例如纤维间内聚力的激活或纤维屈服。我们将观察到的重塑归因于在施加拉伸下基质微结构内部形成的纤维排列梯度,该梯度在施加拉伸释放期间驱动了基质性质的后续变化。因此,随机纤维基质由于其复杂的几何结构而倾向于保留力学记忆。

英文摘要:

Disordered fibrous matrices, formed by the random assembly of fibers, provide the structural framework for many biological systems and biomaterials. Applied deformation modifies the alignment and stress states of constituent fibers, tuning the nonlinear elastic response of these materials. While it is generally presumed that fibers return to their original configurations after deformation is released, except when neighboring fibers coalesce or individual fibers yield, this reversal process remains largely unexplored. The intricate geometry of these matrices leaves an incomplete understanding of whether releasing deformation fully restores the matrix or introduces new microstructural deformation mechanisms. To address this gap, we investigated the evolution of matrix microstructures during the release of an applied deformation. Numerical simulations were performed on quasi-two-dimensional matrices of random fibers under localized tension, with fibers modeled as beams in finite element analysis. After tension release, the matrix exhibited permanent mechanical remodeling, with greater remodeling occurring at higher magnitudes of applied tension, indicative of the matrix preserving its loading history as mechanical memory. This response was surprising; it occurred despite the absence of explicit plasticity mechanisms, such as activation of inter-fiber cohesion or fiber yielding. We attributed the observed remodeling to the gradient in fiber alignment that developed within the matrix microstructure under applied tension, driving the subsequent changes in matrix properties during the release of applied tension. Therefore, random fibrous matrices tend to retain mechanical memory due to their intricate geometry.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑