A Multi-Time Stepping Algorithm for the Modelling of Heterogeneous Structures With Explicit Time Integration

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Kin Fung Chan, Nicola Bombace, Duygu Sap, David Wason, Simone Falco, Nik Petrinic
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引用次数: 0

Abstract

Heterogeneous solids often exhibit complex dynamic behavior, requiring simulations to use varying time steps. However, the conventional use of a single-time step for the entire domain can be inefficient. This article proposes a multi-time stepping algorithm that addresses this challenge by relaxing the constraint for an integer or constant time step ratio between subdomains and eliminating the need for kinematic interpolation. The algorithm ensures the satisfaction of the Courant-Friedrichs-Lewy condition, deviating only to allow subdomains to remain in synchronization. Consequently, less integration steps are performed in comparison to state-of-the-art asynchronous integrators. We extend to the coupling of multiple subdomains, where each subdomain has its time step. Simulating stress wave propagation in metamaterials demonstrates that the proposed algorithm significantly accelerates simulation time, without sacrificing accuracy.

Abstract Image

非均质结构显式时间积分建模的多时间步进算法
非均相固体通常表现出复杂的动态行为,需要使用不同的时间步长进行模拟。然而,对整个域使用单一时间步骤的传统方法可能效率低下。本文提出了一种多时间步进算法,通过放宽子域之间整数或常数时间步进比的约束,消除了对运动学插值的需要,解决了这一挑战。该算法保证了Courant-Friedrichs-Lewy条件的满足,只允许子域保持同步。因此,与最先进的异步集成商相比,执行的集成步骤更少。我们扩展到多个子域的耦合,其中每个子域都有自己的时间步长。模拟应力波在超材料中的传播表明,该算法在不牺牲精度的前提下显著加快了模拟时间。
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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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