主动哑铃悬架的CUDA仿真
CUDA simulations of active dumbbell suspensions
摘要：
我们描述和分析CUDA模拟的流体动力学相互作用的主动哑铃悬架。基于GPU的并行计算，使我们不仅能够研究的时间分辨的集体动力学多达几百个积极的哑铃游泳运动员，但也测试有效的时间平均模型的准确性。我们的数值结果表明，中风平均模型产生一个相对准确的描述下降到距离只有几倍的哑铃的长度。鉴于冲程平均模型是基于远场扩展的事实，这是值得注意的。因此，我们的分析证实，行程平均远场运动方程可以提供一个有用的出发点，推导流体动力场方程。
英文摘要：
We describe and analyze CUDA simulations of hydrodynamic interactions in active dumbbell suspensions. GPU-based parallel computing enables us not only to study the time-resolved collective dynamics of up to a several hundred active dumbbell swimmers but also to test the accuracy of effective time-averaged models. Our numerical results suggest that the stroke-averaged model yields a relatively accurate description down to distances of only a few times the dumbbell's length. This is remarkable in view of the fact that the stroke-averaged model is based on a far-field expansion. Thus, our analysis confirms that stroke-averaged far-field equations of motion may provide a useful starting point for the derivation of hydrodynamic field equations.
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