In literature, the cost of a partitioned fluid-structure interaction scheme is typically assessed by the number of coupling iterations required per time step, while ignoring the internal iterations within the nonlinear subproblems. In this work, we demonstrate that these internal iterations have a significant influence on the computational cost of the coupled simulation. Particular attention is paid to how limiting the number of iterations within each solver call can shorten the overall run time, as it avoids polishing the subproblem solution using unconverged coupling data. Based on systematic parameter studies, we investigate the optimal number of subproblem iterations per coupling step. Lastly, this work proposes a new convergence criterion for coupled systems that is based on the residuals of the subproblems and therefore does not require any additional convergence tolerance for the coupling loop.
翻译:在文献中,分解流体-结构互动计划的成本通常通过每时间步骤所需的混合迭代次数来评估,而忽略非线性子问题中的内部迭代。在这项工作中,我们证明这些内部迭代对混合模拟的计算成本有重大影响,特别注意限制每个求解器调用中的迭代次数如何缩短整个运行时间,因为它避免使用未对齐的混合数据擦亮子问题解决办法。根据系统参数研究,我们调查每个组合步骤的次问题迭代的最佳数目。最后,这项工作提出了基于子问题余下部分的组合系统的新趋同标准,因此不需要对组合循环作任何额外的趋同容忍度。</s>