采用偏移断裂法进行裂缝分支和合并模拟

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-11-12 DOI:10.1016/j.cma.2024.117528
Kangan Li , Antonio Rodríguez-Ferran , Guglielmo Scovazzi
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引用次数: 0

摘要

我们提出了一种相对简单且与网格无关的方法,利用偏移边界法(Shifted Boundary Methods)中的偏移断裂法(SFM)来模拟裂纹的分支和合并。与传统的元素删除/节点释放技术相比,该方法通过精确计算断裂面的面积实现了网格无关性。在 SFM 中,真正的断裂被嵌入计算网格中,但断裂界面条件通过泰勒展开对由二维/三维全边/面组成的代理断裂进行修改(移动)。这样就避免了对切割元素进行数值积分,从而简化了切割元素的数据结构和几何处理,同时还能保持与网格无关的结果和精确的断裂近似。我们在一些原型数值实验中展示了所建议方法的能力。
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Crack branching and merging simulations with the shifted fracture method
We propose a relatively simple and mesh-independent approach to model crack branching and merging using the Shifted Fracture Method (SFM), within the class of Shifted Boundary Methods. The proposed method achieves mesh independency by accurately accounting for the area of the fracture surface, in contrast to traditional element-deletion/node-release techniques. In the SFM, the true fracture is embedded into the computational grid, but the fracture interface conditions are modified (shifted) by means of Taylor expansions to the surrogate fracture composed of full edges/faces in two/three dimensions. This avoids numerical integration on cut elements, so that the data structures and geometrical treatment of cut elements are simple, while mesh-independent results and accurate fracture approximations are still maintained. We demonstrate the capabilities of the proposed approach in a number of prototypical numerical experiments.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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