Weighted eigenseparation-based residual approach for model reduction of interface failure in heterogeneous materials

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Jacob Fish, Junhe Cui
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引用次数: 0

Abstract

Interface failure plays a critical role in the degradation of heterogeneous materials, often governing structural integrity across a range of applications from fiber-reinforced composites to polycrystalline rocks. This paper introduces a novel model reduction framework—the Weighted Eigenseparation-based Residual (WER) approach—for efficiently simulating interface failure using cohesive zone models. Two variants of the WER are developed: a force-based formulation that weakly enforces equilibrium equations at the interface at the modal level and a separation-based formulation that weakly enforces contact conditions at the modal level. These formulations are supported by precomputed influence functions within representative volume elements (RVEs), significantly reducing computational cost while preserving accuracy. The separation-based variant, in particular, demonstrates broad applicability across microstructures with interface junctions. Numerical examples in two and three dimensions—including fiber composites and geological microstructures—demonstrate the effectiveness, convergence behavior, and computational advantages of the WER over direct numerical simulations. The results show that high-fidelity predictions can be obtained even with coarsely discretized interface modes, confirming the robustness and versatility of the WER methodology.
基于加权特征分离的非均质材料界面破坏模型残差法
界面破坏在非均质材料的降解中起着至关重要的作用,通常在从纤维增强复合材料到多晶岩石的一系列应用中控制结构完整性。本文提出了一种新的模型约简框架——基于加权特征分离的残差(WER)方法,利用内聚区模型有效地模拟界面失效。我们开发了两种WER的变体:一种是基于力的公式,在模态水平上弱地强制执行界面上的平衡方程;另一种是基于分离的公式,在模态水平上弱地强制执行接触条件。这些公式由代表性体积单元(rve)内预先计算的影响函数支持,在保持准确性的同时显着降低了计算成本。特别是基于分离的变体,在具有界面连接的微观结构中具有广泛的适用性。二维和三维的数值例子——包括纤维复合材料和地质微观结构——证明了WER相对于直接数值模拟的有效性、收敛性和计算优势。结果表明,即使在粗离散的界面模式下也可以获得高保真度的预测,证实了WER方法的鲁棒性和通用性。
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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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