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一类用于线性和非线性流固耦合算法验证与收敛性分析的解析解。

A class of analytic solutions for verification and convergence analysis of linear and nonlinear fluid-structure interaction algorithms.

作者信息

Hessenthaler Andreas, Balmus Maximilian, Röhrle Oliver, Nordsletten David

机构信息

Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart, Germany.

School of Biomedical Engineering and Imaging Sciences, King's College London, 4th FL Rayne Institute, St. Thomas Hospital, London, SE1 7EH, United Kingdom of Great Britain and Northern Ireland.

出版信息

Comput Methods Appl Mech Eng. 2020 Apr 15;362. doi: 10.1016/j.cma.2020.112841.

Abstract

Fluid-structure interaction (FSI) problems are pervasive in the computational engineering community. The need to address challenging FSI problems has led to the development of a broad range of numerical methods addressing a variety of applicationspecific demands. While a range of numerical and experimental benchmarks are present in the literature, few solutions are available that enable both verification and spatiotemporal convergence analysis. In this paper, we introduce a class of analytic solutions to FSI problems involving shear in channels and pipes. Comprised of 16 separate analytic solutions, our approach is permuted to enable progressive verification and analysis of FSI methods and implementations, in two and three dimensions, for static and transient scenarios as well as for linear and hyperelastic solid materials. Results are shown for a range of analytic models exhibiting progressively complex behavior. The utility of these solutions for analysis of convergence behavior is further demonstrated using a previously published monolithic FSI technique. The resulting class of analytic solutions addresses a core challenge in the development of novel FSI algorithms and implementations, providing a progressive testbed for verification and detailed convergence analysis.

摘要

流固耦合(FSI)问题在计算工程领域中普遍存在。解决具有挑战性的FSI问题的需求促使人们开发了一系列满足各种特定应用需求的数值方法。虽然文献中存在一系列数值和实验基准,但能够进行验证和时空收敛分析的解决方案却很少。在本文中,我们介绍了一类涉及渠道和管道剪切的FSI问题的解析解。我们的方法由16个独立的解析解组成,经过排列后能够对FSI方法和实现进行渐进式验证和分析,适用于二维和三维的静态和瞬态场景,以及线性和超弹性固体材料。展示了一系列表现出逐渐复杂行为的解析模型的结果。使用先前发表的整体FSI技术进一步证明了这些解对于收敛行为分析的实用性。由此产生的解析解类别解决了新型FSI算法和实现开发中的一个核心挑战,为验证和详细的收敛分析提供了一个渐进式测试平台。

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本文引用的文献

1
A partition of unity approach to fluid mechanics and fluid-structure interaction.
Comput Methods Appl Mech Eng. 2020 Apr 15;362. doi: 10.1016/j.cma.2020.112842.
2
Adaptive unified continuum FEM modeling of a 3D FSI benchmark problem.
Int J Numer Method Biomed Eng. 2017 Sep;33(9). doi: 10.1002/cnm.2851. Epub 2017 Apr 11.
3
Validation of a non-conforming monolithic fluid-structure interaction method using phase-contrast MRI.
Int J Numer Method Biomed Eng. 2017 Aug;33(8):e2845. doi: 10.1002/cnm.2845. Epub 2017 Feb 16.
4
Experiment for validation of fluid-structure interaction models and algorithms.
Int J Numer Method Biomed Eng. 2017 Sep;33(9). doi: 10.1002/cnm.2848. Epub 2017 Jan 27.
5
Coupling schemes for the FSI forward prediction challenge: Comparative study and validation.
Int J Numer Method Biomed Eng. 2017 Apr;33(4). doi: 10.1002/cnm.2813. Epub 2016 Jul 21.

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