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基于混合物理论的有限元方法用于分析生物软组织的水肿状况。

Mixture Theory-Based Finite Element Approach for Analyzing the Edematous Condition of Biological Soft Tissues.

作者信息

Hirabayashi Satoko, Iwamoto Masami, Chen Xian

机构信息

Human Science Research Domain, Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan.

Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Ube, Yamaguchi 755-8611, Japan.

出版信息

Bioengineering (Basel). 2024 Jul 11;11(7):702. doi: 10.3390/bioengineering11070702.

Abstract

In hydrated soft biological tissues experiencing edema, which is typically associated with various disorders, excessive fluid accumulates and is encapsulated by impermeable membranes. In certain cases of edema, an indentation induced by pressure persists even after the load is removed. The depth and duration of this indentation are used to assess the treatment response. This study presents a mixture theory-based approach to analyzing the edematous condition. The finite element analysis formulation was grounded in mixture theory, with the solid displacement, pore water pressure, and fluid relative velocity as the unknown variables. To ensure tangential fluid flow at the surface of tissues with complex shapes, we transformed the coordinates of the fluid velocity vector at each time step and node, allowing for the incorporation of the transmembrane component of fluid flow as a Dirichlet boundary condition. Using this proposed method, we successfully replicated the distinct behavior of pitting edema, which is characterized by a prolonged recovery time from indentation. Consequently, the proposed method offers valuable insights into the finite element analysis of the edematous condition in biological tissues.

摘要

在经历水肿的水合软生物组织中,水肿通常与各种疾病相关,过多的液体积聚并被不可渗透的膜包裹。在某些水肿病例中,即使在负荷移除后,由压力引起的压痕仍会持续。该压痕的深度和持续时间用于评估治疗反应。本研究提出了一种基于混合理论的方法来分析水肿状况。有限元分析公式基于混合理论,以固体位移、孔隙水压力和流体相对速度作为未知变量。为确保在形状复杂的组织表面实现切向流体流动,我们在每个时间步和节点处对流体速度矢量的坐标进行变换,从而能够将流体流动的跨膜分量作为狄利克雷边界条件纳入。使用该方法,我们成功复制了凹陷性水肿的独特行为,其特征是压痕恢复时间延长。因此,该方法为生物组织水肿状况的有限元分析提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd8/11273480/281685cd5203/bioengineering-11-00702-g0A1.jpg

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