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Simulating flexible fiber suspensions using a scalable immersed boundary algorithm

机译:使用可扩展的浸入边界算法模拟柔性纤维悬架

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We present an approach for numerically simulating the dynamics of flexible fibers in a three-dimensional shear flow using a scalable immersed boundary (IB) algorithm based on Guermond and Minev's pseudo-compressible fluid solver. The fibers are treated as one-dimensional neutrally-buoyant Kirchhoff rods that resist stretching, bending, and twisting, within the generalized IB framework. We perform a careful numerical comparison against experiments on single fibers performed by S.G. Mason and co-workers, who categorized the fiber dynamics into several distinct orbit classes. We show that the orbit class may be determined using a single dimensionless parameter for low Reynolds flows. Lastly, we simulate dilute suspensions containing up to hundreds of fibers using a distributed-memory computer cluster. These simulations serve as a stepping stone for studying more complex suspension dynamics involving aggregation of fibers (or flocculation) and particle sedimentation due to added mass. (C) 2015 Elsevier B.V. All rights reserved.
机译:我们提出了一种基于Guermond和Minev的拟可压缩流体求解器的可伸缩浸入边界(IB)算法,对三维剪切流中的柔性纤维动力学进行数值模拟的方法。纤维被视为一维中性浮力基尔霍夫棒,可抵抗广义IB框架内的拉伸,弯曲和扭曲。我们与S.G. Mason及其同事在单根纤维上进行的实验进行了仔细的数值比较,后者将纤维动力学分为几个不同的轨道类别。我们表明,对于低雷诺兹流,可以使用单个无量纲参数确定轨道类别。最后,我们使用分布式内存计算机集群模拟包含多达数百根纤维的稀悬浮液。这些模拟充当了研究更复杂的悬浮动力学的垫脚石,涉及纤维的聚集(或絮凝)和由于增加的质量而引起的颗粒沉降。 (C)2015 Elsevier B.V.保留所有权利。

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