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A matrix-free, implicit, incompressible fractional-step algorithm for fluid-structure interaction applications

机译:适用于流固耦合应用的无矩阵,隐式,不可压缩分数步算法

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摘要

In this paper we detail a fast, fully-coupled, partitioned fluid-structure interaction (FSI) scheme. For the incompressible fluid, new fractional-step algorithms are proposed which make possible the fully implicit, but matrix-free, parallel solution of the entire coupled fluid-solid system. These algorithms include artificial compressibility pressure-poisson solution in conjunction with upwind velocity stabilisation, as well as simplified pressure stabilisation for improved computational efficiency. A dual-timestepping approach is proposed where a Jacobi method is employed for the momentum equations while the pressures are concurrently solved via a matrix-free preconditioned GMRES methodology. This enables efficient sub-iteration level coupling between the fluid and solid domains. Parallelisation is effected for distributed-memory systems. The accuracy and efficiency of the developed technology is evaluated by application to benchmark problems from the literature. The new schemes are shown to be efficient and robust, with the developed preconditioned GMRES solver furnishing speed-ups ranging between 50 and 80.
机译:在本文中,我们详细介绍了一种快速的,完全耦合的,分区的流固耦合方案(FSI)。对于不可压缩的流体,提出了新的分数步算法,该算法使得整个耦合的流固系统的完全隐式但无矩阵并行解决方案成为可能。这些算法包括与上风速度稳定相结合的人工可压缩压力-泊松解,以及简化的压力稳定以提高计算效率。提出了一种双时步方法,其中将Jacobi方法用于动量方程,同时通过无矩阵预处理GMRES方法同时求解压力。这实现了流体域和固体域之间的有效子重复级耦合。并行化对分布式内存系统有效。通过将其应用于文献中的基准问题,可以评估所开发技术的准确性和效率。新方案被证明是有效且稳健的,开发的预处理GMRES求解器的提速范围在50到80之间。

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