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Visualizing multiphysics, fluid-structure interaction phenomena in intracranial aneurysms

机译:可视化颅内动脉瘤中的多物理场,流固耦合现象

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This work presents recent advances in visualizing multi-physics, fluid-structure interaction (FSI) phenomena in cerebral aneurysms. Realistic FSI simulations produce very large and complex data sets, yielding the need for parallel data processing and visualization. Here we present our efforts to develop an interactive visualization tool which enables the visualization of such FSI simulation data. Specifically, we present a ParaView-NekTar interface that couples the ParaView-visualization engine with NekTar's parallel libraries, which are employed for the calculation of derived fields in both the fluid and solid domains with spectral accuracy. This interface allows the flexibility of independently choosing the resolution for visualizing both the volume data and the surface data from each of the solid and fluid domains, which significantly facilitates the visualization of complex structures under large deformations. The animation of the fluid and structure data is synchronized in time, while the ParaView-NekTar interface enables the visualization of different fields to be superimposed, e.g. fluid jet and structural stress, to better understand the interactions in this multi-physics environment. Such visualizations are key towards elucidating important biophysical interactions in health and disease, as well as disseminating the insight gained from our simulations and further engaging the medical community in this effort of bringing computational science to the bedside. (C) 2015 Elsevier B.V. All rights reserved.
机译:这项工作提出了可视化脑动脉瘤中的多物理场,流体-结构相互作用(FSI)现象的最新进展。逼真的FSI仿真产生非常大而复杂的数据集,因此需要并行数据处理和可视化。在这里,我们介绍了开发交互式可视化工具的工作,该工具可以可视化此类FSI仿真数据。具体来说,我们提供了一个ParaView-NekTar接口,该接口将ParaView可视化引擎与NekTar的并行库耦合在一起,该库用于以光谱精度计算流体和固体域中的派生场。该界面允许灵活地独立选择分辨率,以显示来自每个实体域和流体域的体积数据和表面数据,这极大地促进了大变形下复杂结构的可视化。流体和结构数据的动画在时间上是同步的,而ParaView-NekTar界面则可以叠加不同场的可视化,例如流体射流和结构应力,以更好地了解这种多物理环境中的相互作用。这种可视化对于阐明健康和疾病中重要的生物物理相互作用,以及传播从我们的模拟中获得的见识以及使医学界进一步参与将计算科学带到床边的努力至关重要。 (C)2015 Elsevier B.V.保留所有权利。

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