کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | ترجمه فارسی | نسخه تمام متن |
---|---|---|---|---|---|
523810 | 868498 | 2016 | 8 صفحه PDF | سفارش دهید | دانلود رایگان |
• Developed parallel algorithms for visualizing fluid-structure interaction phenomena.
• Enabled high-order accurate computations through a parallel spectral/hp element library.
• Visualized detailed flow patterns and stress fields inside intracranial aneurysms.
• Designed an interactive interface for coupling ParaView with multi-physics solvers.
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.
Journal: Parallel Computing - Volume 55, July 2016, Pages 9–16