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Multiscale space–time fluid–structure interaction techniques

机译:多尺度时空流固耦合技术

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We present the multiscale space–time techniques we have developed for fluid–structure interaction (FSI) computations. Some of these techniques are multiscale in the way the time integration is performed (i.e. temporally multiscale), some are multiscale in the way the spatial discretization is done (i.e. spatially multiscale), and some are in the context of the sequentially-coupled FSI (SCFSI) techniques developed by the Team for Advanced Flow Simulation and Modeling (T bigstar AFSM){({rm T} bigstar {rm AFSM})}. In the multiscale SCFSI technique, the FSI computational effort is reduced at the stage we do not need it and the accuracy of the fluid mechanics (or structural mechanics) computation is increased at the stage we need accurate, detailed flow (or structure) computation. As ways of increasing the computational accuracy when or where needed, and beyond just increasing the mesh refinement or decreasing the time-step size, we propose switching to more accurate versions of the Deforming-Spatial-Domain/Stabilized Space–Time (DSD/SST) formulation, using more polynomial power for the basis functions of the spatial discretization or time integration, and using an advanced turbulence model. Specifically, for more polynomial power in time integration, we propose to use NURBS, and as an advanced turbulence model to be used with the DSD/SST formulation, we introduce a space–time version of the residual-based variational multiscale method. We present a number of test computations showing the performance of the multiscale space–time techniques we are proposing. We also present a stability and accuracy analysis for the higher-accuracy versions of the DSD/SST formulation.
机译:我们介绍了为流固耦合(FSI)计算而开发的多尺度时空技术。这些技术中的一些在执行时间积分的方式上是多尺度的(即时间上是多尺度的),在空间离散化的方式上是多尺度的(即空间上是多尺度的),有些是在顺序耦合的FSI的背景下(高级流量模拟和建模小组(T bigstar AFSM){({rm T} bigstar {rm AFSM})}开发的SCFSI技术。在多尺度SCFSI技术中,在我们不需要它的阶段就减少了FSI的计算工作量,而在我们需要进行精确,详细的流量(或结构)计算的阶段,则增加了流体力学(或结构力学)的计算精度。作为增加计算精度的方式,除了增加网格细化或减小时间步长之外,我们建议切换到变形空间域/稳定时空(DSD / SST)的更准确版本)公式,将更多的多项式幂用于空间离散化或时间积分的基本函数,并使用高级湍流模型。具体来说,为了在时间积分中获得更多的多项式幂,我们建议使用NURBS,作为与DSD / SST公式一起使用的高级湍流模型,我们引入了基于残差的变分多尺度方法的时空版本。我们提供了许多测试计算,这些计算表明了我们提出的多尺度时空技术的性能。我们还为DSD / SST公式的高精度版本提供了稳定性和准确性分析。

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