A Time-Adaptive Multirate Quasi-Newton Waveform Iteration for Coupled Problems

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Niklas Kotarsky, Philipp Birken
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引用次数: 0

Abstract

We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination with relaxation, this has been achieved for heat transfer problems earlier. Alternatively, one can use a black box method like Quasi-Newton to improve the convergence behavior. These methods have recently been combined with waveform iterations for fixed time steps. Here, we suggest an extension of the Quasi-Newton method to the time-adaptive setting and analyze its properties. We compare the proposed Quasi-Newton method with state-of-the-art solvers on a heat transfer test case and a complex mechanical Fluid-Structure interaction case, demonstrating the method's efficiency.

耦合问题的时间自适应多速率拟牛顿波形迭代
我们考虑动态耦合问题的波形迭代,或者更具体地说,通过低维接口交互的偏微分方程。我们希望允许对子问题的现有代码进行重用,这称为分区方法。为了提高计算效率,建议采用不同的自适应时间步长。使用所谓的波形迭代与松弛相结合,这已经实现了早先的传热问题。或者,可以使用类似准牛顿的黑盒方法来改善收敛性。这些方法最近与固定时间步长的波形迭代相结合。本文提出了准牛顿方法在时间自适应条件下的推广,并分析了其性质。我们将拟牛顿方法与现有的求解方法在一个传热测试案例和一个复杂的机械流固耦合案例中进行了比较,证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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