考虑界面剥离的纤维增强复合材料动态断裂相场混合模型

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Nhon Nguyen-Thanh , Weidong Li , Qi Zhang , Kun Zhou
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引用次数: 0

摘要

在这项工作中,我们开发了一种混合相场建模方法,通过高阶非局部算子方法(NOM)来模拟纤维增强复合材料的动态脆性断裂。该方法可捕获复合材料的动态断裂模式,包括基体断裂、界面脱粘以及这些失效模式之间的相互作用。采用裂纹表面密度函数来反映纤维引起的材料各向异性。同时考虑了材料的弱各向异性和与系数相关的强各向异性。此外,采用高阶NOM方法推导了动态相场断裂模型的非局部积分形式,消除了计算矩矩阵导数的需要。为了提高计算精度和稳定性,采用了由再现核粒子法导出的非局部微分算子。采用隐式Newmark积分格式对相场控制方程进行时间离散化。数值算例表明,该方法有效地捕捉了体动力断裂和界面裂纹的起裂、扩展和相互作用,同时准确地反映了复合材料的各向异性行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid phase-field model for dynamic fracture in fiber-reinforced composites considering interfacial debonding
In this work, we develop a hybrid phase-field modeling approach, enhanced by a higher-order nonlocal operator method (NOM) to simulate dynamic brittle fracture in fiber-reinforced composites. This approach captures dynamic fracture patterns in composite materials, including matrix cracking, interfacial debonding, and the interaction between these failure modes. A crack surface density function is applied to incorporate the material anisotropy induced by the fibers. Both weak material anisotropy and coefficient-related strong anisotropy are considered. Moreover, the nonlocal integral form of the dynamic phase-field fracture model is derived using a higher-order NOM. The proposed approach eliminates the need to compute derivatives of the moment matrix. To improve computational accuracy and stability, a nonlocal differential operator derived from the reproducing kernel particle method is employed. The implicit Newmark integration scheme is used for the time discretization of the phase-field governing equations. Numerical examples demonstrate that the proposed method effectively captures the initiation, propagation, and interaction of bulk dynamic fractures and interface cracks, while accurately representing the anisotropic behavior of composite materials.
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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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