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Multi-level quasi-Newton coupling algorithms for the partitioned simulation of fluid-structure interaction

机译:多级拟牛顿耦合算法用于流固耦合的分区模拟

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In partitioned fluid-structure interaction simulations, the flow equations and the structural equations are solved separately. Coupling iterations between the flow calculation and the structural calculation can be used to enforce the equilibrium conditions on the fluid-structure interface. Low wave number Fourier modes of the difference between the correct interface displacement and the interface displacement during Gauss-Seidel coupling iterations are typically unstable for strongly coupled problems with a Dirichlet-Neumann decomposition. Using interface quasi-Newton iterations with an approximation for the inverse of the Jacobian from a least-squares model (IQN-ILS), these unstable modes are automatically detected and stabilized. As the unstable modes have a low wave number and can hence be resolved on coarser grids, the new multi-level IQN-ILS (ML-IQN-ILS) technique first constructs the approximation for the inverse of the Jacobian on coarser grid levels and then uses it and improves it further on the original, finest grid level. This multi-level approach reduces the number of coupling iterations on the finest grid level and can also be applied to the interface block quasi-Newton (IBQN-LS) technique. One-dimensional and three-dimensional numerical results demonstrate that this new class of multi-level quasi-Newton coupling techniques can reduce the duration of a partitioned fluid-structure interaction simulation.
机译:在分区的流固耦合模拟中,分别求解流动方程和结构方程。流量计算和结构计算之间的耦合迭代可用于在流体-结构界面上实施平衡条件。对于带有Dirichlet-Neumann分解的强耦合问题,正确界面位移和高斯-塞德尔耦合迭代期间界面位移之间差异的低波数傅里叶模式通常是不稳定的。使用最小二乘模型(IQN-ILS)的接口近似牛顿迭代近似Jacobian逆,可以自动检测并稳定这些不稳定模式。由于不稳定模式具有较低的波数,因此可以在较粗的网格上求解,因此新的多级IQN-ILS(ML-IQN-ILS)技术首先在较粗的网格级别上构造雅可比逆的近似值,然后使用它,并在原始的最佳网格级别上对其进行进一步改进。这种多级方法减少了最精细网格级别的耦合迭代次数,也可以应用于接口块准牛顿(IBQN-LS)技术。一维和三维数值结果表明,这种新型的多级准牛顿耦合技术可以减少分区的流固耦合模拟的持续时间。

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