Subcycling Strategy for Finite-Volume Updated-Lagrangian Methods Applied to Fluid–Structure Interaction

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Teddy Chantrait, Nicolas Chevaugeon, Stéphane Del Pino, Alexandre Gangloff, Emmanuel Labourasse
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Abstract

In this article, we propose and investigate an explicit partitioned method for solving shock dynamics in fluid–structure interaction (FSI) problems. The method is fully conservative, ensuring the local conservation of mass, momentum, and energy, which is crucial for accurately capturing strong shock interactions. Using an updated-Lagrangian finite-volume approach, the method integrates a subcycling strategy to decouple time steps between the fluid and structure, significantly enhancing computational efficiency. Numerical experiments confirm the accuracy and stability of the method, demonstrating that it retains the key properties of monolithic solvers while reducing computational costs. Extensive validation across 1D and 3D FSI problems shows the method's capability for large-scale, fast transient simulations, making it a promising solution for high-performance applications.

Abstract Image

流固耦合有限体积更新拉格朗日方法的子循环策略
在本文中,我们提出并研究了求解流固耦合(FSI)问题中激波动力学的显式分割方法。该方法是完全保守的,确保了质量、动量和能量的局部守恒,这对于准确捕获强激波相互作用至关重要。该方法采用更新的拉格朗日有限体积方法,结合子循环策略来解耦流体和结构之间的时间步长,显著提高了计算效率。数值实验验证了该方法的准确性和稳定性,表明它在降低计算成本的同时保留了单片求解器的关键特性。对1D和3D FSI问题的广泛验证表明,该方法具有大规模,快速瞬态模拟的能力,使其成为高性能应用的有前途的解决方案。
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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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