Numerical models of endografts for the simulation of endovascular aneurysm repair are increasingly important in the improvement of device designs and patient outcomes. Nevertheless, current finite element analysis (FEA) models of complete endograft devices come at a high computational cost, requiring days of runtime, therefore restricting their applicability. In the current study, an efficient FEA model of the Anaconda™ endograft (Terumo Aortic, UK) was developed, able to yield results in just over 4 h, an order of magnitude less than similar models found in the literature. The model was used to replicate a physical device that was deployed in a 3D printed aorta and comparison of the two shapes illustrated a less than 5 mm placement error of the model in the regions of interest, consistent with other more computationally intensive models in the literature. Furthermore, the final goal of the study was to utilize the deployed fabric model in a hemodynamic analysis that would incorporate realistic fabric folds, a feature that is almost always omitted in similar simulations. By successfully exporting the deployed graft geometry into a flow analysis, it was illustrated that the inclusion of fabric wrinkles enabled clinically significant flow patterns such as flow stagnation and recirculation to be detected, paving the way for this modelling methodology to be used in future for stent design optimisation.

中文翻译：

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高效模拟内移植物部署：详细 CFD 分析的方法。

用于模拟血管内动脉瘤修复的内移植物数值模型在改进设备设计和患者预后方面越来越重要。然而，当前完整的内移植物装置的有限元分析 (FEA) 模型的计算成本很高，需要数天的运行时间，因此限制了它们的适用性。在当前的研究中，开发了 Anaconda™ 内移植物（英国 Terumo 主动脉）的高效 FEA 模型，能够在 4 小时多一点的时间内产生结果，比文献中发现的类似模型少一个数量级。该模型用于复制部署在 3D 打印主动脉中的物理设备，两种形状的比较表明模型在感兴趣区域的放置误差小于 5 毫米，与文献中其他计算量更大的模型一致。此外，该研究的最终目标是在血液动力学分析中利用部署的织物模型，该分析将结合真实的织物褶皱，这一特征在类似的模拟中几乎总是被忽略。通过将部署的移植物几何形状成功导出到流动分析中，表明包含织物皱纹能够检测到具有临床意义的流动模式，例如流动停滞和再循环，从而为将来将该建模方法用于支架铺平了道路设计优化。