准脆性断裂的两尺度高阶损伤弹性理论及求解方法

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Cao Yuheng, Zhang Chunyu
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引用次数: 0

摘要

为了严格捕捉准脆性断裂过程中弹性变形与损伤发生/扩展之间的紧密耦合,提出了一种考虑应变场和损伤场细观非均匀性的双尺度损伤弹性理论。它制定了一个退化的应变能密度,以捕获尺寸效应和局部损伤的开始和传播,通过均质化操作。该方法采用了简化和统一的物理方法,并提供了一致的高阶变形和损伤处理方法,能够自然地结合尺寸对断裂强度的影响。不需要额外的正则化来维持损伤的局部化。利用最小势能原理求解结构变形,其中增广拉格朗日法(ALM)降低了梯度算子的阶数。所有边界条件都没有高阶项,可以按常规方式应用。数值研究表明,该理论能够预测裂纹尖端的非奇异变形,准确地模拟穿孔脆性板的尺寸相关断裂,并在基准问题中实现与网格无关的破坏预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Two-scale High-order Damaged Elasticity Theory and Solution Procedure for Quasi-brittle Fracture
To rigorously capture the tight coupling between elastic deformation and damage initiation/propagation in quasi-brittle fracture processes, a two-scale damaged elasticity theory is proposed that accounts for the meso-scale inhomogeneity of both the strain and the damage fields. It formulates a degraded strain energy density to capture size effects and localized damage initiation and propagation through a homogenization operation. This approach takes a simplified and unified physics and offers a consistent treatment of higher-order deformation and damage, enabling natural incorporation of size effects on fracture strength. No additional regularization is needed to maintain damage localization. Structural deformation is solved using the principle of minimum potential energy, where the Augmented Lagrangian Method (ALM) reduces the order of gradient operators. All boundary conditions are free of high-order terms and can be applied in the conventional manner. Numerical investigations demonstrate the theory's capability to predict non-singular deformation at crack tips, accurately model size-dependent fracture in perforated brittle plates, and achieve mesh-independent failure predictions in benchmark problems.
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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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