相场断裂交错求解器的域分解方法和加速技术

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-06-05 DOI:10.1002/nme.7544
Johann Rannou, Christophe Bovet
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引用次数: 0

摘要

断裂相场模型能够模拟复杂裂纹的成核和扩展。然而,由于所需的内部长度相对较小,通常需要非常精细的网格和较高的计算成本,尤其是在三维应用中。在本研究中,额外的成本还来自于对不稳定裂纹传播的隐式动力学正则化,这可能会导致从准静态转换到动态时的时间步长变化很大。为了缩短这种情况下的求解时间,本研究提出了相场断裂交错求解器的域分解框架和加速技术。位移子问题和相场子问题采用并行域分解求解器求解。双域分解方法提供了低成本的前提条件,非常适合相场子问题。对于不稳定裂纹传播的位移子问题,则优先采用基元域分解方法,因为这种方法对浮动子结构的处理不那么敏感。评估了预处理性能,并介绍了对学术测试案例(多达 324 个子域)的可扩展性研究。最后,在两个半工业模拟中说明了该方法的稳健性。
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Domain decomposition methods and acceleration techniques for the phase field fracture staggered solver

The phase field modeling of fracture is able to simulate the nucleation and the propagation of complex crack patterns. However, the relatively small internal lengths that are required usually lead to very fine meshes and high computational costs, especially for three-dimensional applications. In the present work, additional cost also comes from the implicit dynamics regularization of unstable crack propagations which potentially leads to a large variation of time steps when switching from quasi-static to dynamic regimes. To reduce the time to solution in this context, this study proposes a domain decomposition framework and acceleration techniques for the phase field fracture staggered solver. The displacement subproblem and the phase field one are solved with parallel domain decomposition solvers. Dual domain decomposition methods provide low cost preconditioner well adapted to the phase field subproblem. For displacement subproblems undergoing unstable crack propagations, primal domain decomposition methods are preferred to be less sensitive to the treatment of floating substructures. Preconditioners performances are assessed and scalability studies over academic test cases, up to 324 subdomains, are presented. Finally, the robustness of the approach is illustrated on two semi-industrial simulations.

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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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