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arXiv 2408.02746math.NAcs.NA
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具有局部时间步长的流固耦合解耦方法

Decoupling methods for fluid-structure interaction with local time-stepping

Hemanta Kunwar, Hyesuk Lee

AI总结:

本文提出Steklov-Poincare和Robin两种全局时间域分解方法,将流固耦合系统转化为时空界面问题,允许各子域独立采用不同时间离散格式和步长,并通过数值实验验证了方法的精度与效率。

摘要:

我们引入两种全局时间域分解方法,即Steklov-Poincare方法和Robin方法,用于求解流固耦合系统。这些方法使我们能够将耦合系统表述为时空界面问题,并直接对演化问题应用迭代算法。每个时间相关的子域问题独立求解,这使得在子系统中可以使用不同的时间离散格式和时间步长。这为模拟时间相关现象提供了一种高效途径。我们给出了非物理问题和物理问题的数值测试,采用不同的网格尺寸和时间步长,以证明所提方法的精度和效率。

英文摘要:

We introduce two global-in-time domain decomposition methods, namely the Steklov-Poincare method and the Robin method, for solving a fluid-structure interaction system. These methods allow us to formulate the coupled system as a space-time interface problem and apply iterative algorithms directly to the evolutionary problem. Each time-dependent subdomain problem is solved independently, which enables the use of different time discretization schemes and time step sizes in the subsystems. This leads to an efficient way of simulating time-dependent phenomena. We present numerical tests for both non-physical and physical problems, with various mesh sizes and time step sizes to demonstrate the accuracy and efficiency of the proposed methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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