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Multi-Level Acceleration of Parallel Coupled Partitioned Fluid-Structure Interaction with Manifold Mapping

机译:与歧管映射的平行耦合分区流体结构相互作用的多级加速度

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Strongly coupled fluid-structure interaction simulations often suffer from slow convergence, limited parallel scalability or difficulties in using black-box solvers. As partitioned simulations still play an important role in cases where new combinations of models, discretizations and codes have to be tested in an easy and fast way, we propose a combination of a parallel black-box coupling with a manifold mapping algorithm as an acceleration method. In this approach, we combine a computationally inexpensive low-fidelity FSI model with a high-fidelity FSI model to reduce the number of coupling iterations of the high fidelity FSI model. Information from previous time steps is taken into account with a secant update step similar to the Broyden update. The used black-box approach is applied for an incompressible laminar flow over a fixed cylinder with an attached flexible flap and a wave propagation in a three-dimensional elastic tube problem. A reduction of approximately 55 % in terms of high fidelity iterations is achieved compared to the Anderson mixing method if the fluid and the structure solvers are executed in parallel.
机译:强烈耦合的流体结构相互作用模拟通常遭受缓慢的收敛性,有限的平行可扩展性或使用黑匣子溶剂的困难。作为分区模拟仍然在模型的新组合,离散化和代码的新组合以简单且快速地测试的情况下,我们提出了一种并联黑匣子耦合与歧管映射算法的组合作为加速方法。在这种方法中,我们将计算上廉价的低保真FSI模型与高保真FSI模型相结合,以减少高保真FSI模型的耦合迭代的数量。使用与Broyden更新类似的SECAND更新步骤考虑来自上一时间步骤的信息。使用的黑盒方法应用于固定圆筒上的不可压缩的层流,具有连接的柔性翼片和三维弹性管问题中的波传播。如果流体和结构溶剂并联执行,则与Anderson混合方法相比,实现了高保真迭代的减少约55%。

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