A snapshot-free reduced-order peridynamic model for accelerating fracture analysis of composites

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-03-15 Epub Date: 2025-01-28 DOI:10.1016/j.cma.2025.117777
Han Dong , Hongjiang Wang , Jiahao Zhong , Chaohui Huang , Weizhe Wang , Yingzheng Liu
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Abstract

A reduced-order peridynamic (PD) model is developed to accelerate fracture simulations of composite materials. This reduced-order PD model is constructed based on a set of projection basis functions extracted from the flexibility matrix corresponding to the initial configuration, rather than from snapshots. Thus, this approach eliminates dependence on datasets with prior knowledge, resulting in superior generalization. During the calculation, the projection basis functions are adaptively updated with the damage evolution. Several two- and three-dimensional numerical examples involving the fracture of composites are investigated to validate the numerical accuracy and computational efficiency of the model. The proposed model accurately captures various fracture characteristics while significantly improving the computational efficiency. This work presents a feasible approach for accelerating fracture simulations, which is of great significance for shortening the design cycle of composite materials and enhancing the efficiency of failure analysis.
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复合材料加速断裂分析的无快照降阶周动力学模型
为了加速复合材料的断裂模拟,建立了一种降阶周动力学模型。该降阶PD模型是基于从初始构型对应的柔性矩阵中提取的一组投影基函数来构建的,而不是基于快照。因此,这种方法消除了对具有先验知识的数据集的依赖,从而获得了更好的泛化效果。在计算过程中,投影基函数随损伤演化自适应更新。通过复合材料断裂的二维和三维数值算例,验证了该模型的数值精度和计算效率。该模型准确捕获了裂缝的各种特征,大大提高了计算效率。为加速断裂模拟提供了一种可行的方法,对缩短复合材料的设计周期,提高失效分析效率具有重要意义。
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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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