Perdikaris Paris, Insley Joseph A, Grinberg Leopold, Yu Yue, Papka Michael E, Karniadakis George Em
Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA 02139, USA.
Argonne Leadership Computing Facility, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA.
Parallel Comput. 2016 Jul;55:9-16. doi: 10.1016/j.parco.2015.10.016. Epub 2015 Dec 15.
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.
这项工作展示了在可视化脑动脉瘤中的多物理场、流固耦合（FSI）现象方面的最新进展。逼真的FSI模拟会产生非常庞大且复杂的数据集，因此需要并行数据处理和可视化。在此，我们展示了开发交互式可视化工具的努力，该工具能够可视化此类FSI模拟数据。具体而言，我们展示了一个ParaView - NekTar接口，它将ParaView可视化引擎与NekTar的并行库相结合，这些并行库用于以谱精度计算流体和固体域中的派生场。该接口允许灵活地独立选择用于可视化来自固体和流体域的体数据和表面数据的分辨率，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接口能够将不同的场叠加显示，例如流体射流和结构应力，以便更好地理解这种多物理环境中的相互作用。此类可视化对于阐明健康和疾病中的重要生物物理相互作用，以及传播我们从模拟中获得的见解并进一步促使医学界参与将计算科学应用于临床的工作而言至关重要。
