Georgia Institute of Technology, College of Computing, Atlanta GA 30032-0760, USA.
IEEE Trans Vis Comput Graph. 2010 Jan-Feb;16(1):147-60. doi: 10.1109/TVCG.2009.46.
We present a visualization technique for simulated fluid dynamics data that visualizes the gradient of the velocity field in an intuitive way. Our work is inspired by rheoscopic particles, which are small, flat particles that, when suspended in fluid, align themselves with the shear of the flow. We adopt the physical principles of real rheoscopic particles and apply them, in model form, to 3D velocity fields. By simulating the behavior and reflectance of these particles, we are able to render 3D simulations in a way that gives insight into the dynamics of the system. The results can be rendered in real time, allowing the user to inspect the simulation from all perspectives. We achieve this by a combination of precomputations and fast ray tracing on the GPU. We demonstrate our method on several different simulations, showing their complex dynamics in the process.
我们提出了一种用于模拟流体动力学数据的可视化技术,以直观的方式可视化速度场的梯度。我们的工作受到流变体粒子的启发,流变体粒子是一种小而扁平的粒子,当悬浮在流体中时,它们会与流动的剪切对齐。我们采用真实流变体粒子的物理原理,并以模型的形式将其应用于 3D 速度场。通过模拟这些粒子的行为和反射率,我们能够以一种洞察系统动力学的方式呈现 3D 模拟。结果可以实时呈现,允许用户从各个角度检查模拟。我们通过预计算和 GPU 上的快速光线追踪相结合来实现这一点。我们在几个不同的模拟中展示了我们的方法,展示了它们在这个过程中的复杂动态。