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用于治疗脑动脉瘤的形状记忆聚氨酯泡沫的有限元建模。

Finite element modeling of shape memory polyurethane foams for treatment of cerebral aneurysms.

机构信息

Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, NG11 8NS, UK.

School of Engineering, Deakin University, Geelong, 3216, Australia.

出版信息

Biomech Model Mechanobiol. 2022 Feb;21(1):383-399. doi: 10.1007/s10237-021-01540-7. Epub 2021 Dec 14.

DOI:10.1007/s10237-021-01540-7
PMID:34907490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8807438/
Abstract

In this paper, a thermo-mechanical analysis of shape memory polyurethane foams (SMPUFs) with aiding of a finite element model (FEM) for treating cerebral aneurysms (CAs) is introduced. Since the deformation of foam cells is extremely difficult to observe experimentally due to their small size, a structural cell-assembly model is established in this work via finite element modeling to examine all-level deformation details. Representative volume elements of random equilateral Kelvin open-cell microstructures are adopted for the cell foam. Also, a user-defined material subroutine (UMAT) is developed based on a thermo-visco-elastic constitutive model for SMPUFs, and implemented in the ABAQUS software package. The model is able to capture thermo-mechanical responses of SMPUFs for a full shape memory thermodynamic cycle. One of the latest treatments of CAs is filling the inside of aneurysms with SMPUFs. The developed FEM is conducted on patient-specific basilar aneurysms treated by SMPUFs. Three sizes of foams are selected for the filling inside of the aneurysm and then governing boundary conditions and loadings are applied to the foams. The results of the distribution of stress and displacement in the absence and presence of the foam are compared. Due to the absence of similar results in the specialized literature, this paper is likely to fill a gap in the state of the art of this problem and provide pertinent results that are instrumental in the design of SMPUFs for treating CAs.

摘要

本文介绍了一种热机械分析形状记忆聚氨酯泡沫（SMPUF）的方法，通过有限元模型（FEM）辅助治疗脑动脉瘤（CA）。由于泡沫细胞的变形非常难以通过实验观察到，因为它们的尺寸非常小，因此在这项工作中通过有限元建模建立了一个结构细胞组装模型，以检查所有级别的变形细节。采用随机等边开尔文多孔微观结构的代表性体积元来表示泡沫细胞。此外，根据 SMPUF 的热粘弹性本构模型，开发了用户定义的材料子程序（UMAT），并在 ABAQUS 软件包中实现。该模型能够捕获 SMPUF 整个形状记忆热力学循环的热机械响应。目前治疗 CA 的最新方法之一是在动脉瘤内部填充 SMPUF。对通过 SMPUF 治疗的患者特定基底动脉瘤进行了开发的 FEM。选择三种尺寸的泡沫填充动脉瘤内部，然后对泡沫施加控制边界条件和载荷。比较了泡沫存在和不存在时的应力和位移分布结果。由于专门文献中没有类似的结果，因此本文可能填补了这个问题的现有技术的空白，并提供了对治疗 CA 的 SMPUF 设计有帮助的相关结果。

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