Reduced order homogenization of composites with strength difference effects in elastoplasticity coupled to damage

IF 6.3 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
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Abstract

This paper addresses reduced order homogenization of composites with strength difference (SD) effects in elastoplasticity coupled to damage, while containing several well-known plasticity criteria as special cases. We extend two approaches for this purpose: 1. nonuniform transformation field analysis (NTFA by Michel and Suquet, 2003) and 2. a recent variant called cluster-based NTFA (CNTFA by Ri et al., 2021), and conduct a comparative study on them. For the NTFA approach, a space–time decomposition is done separately for volumetric and deviatoric inelastic strain fields. A coupled model is derived for the present case to govern the evolution of resulting reduced variables. For the CNTFA approach, a clustering analysis is additionally performed for a spatial decomposition of the micro-domain. Unlike the NTFA, the online analysis is formulated as a unified minimization problem, which does not require a major adaptation for the present case. For both approaches, localization rules are deduced from the superposition principle and then homogenized to obtain the effective responses. FE-based implementation is presented in detail for both approaches. Numerical results show that both approaches provide a striking acceleration rate against conventional FE computations. The CNTFA predictions are more accurate than the NTFA ones by involving clustered microscopic fields in the online analysis, thus resulting into a slightly increased memory requirement.

本文针对复合材料的降阶均质化问题,在弹塑性与损伤耦合的情况下具有强度差(SD)效应,同时将几种著名的塑性标准作为特例。为此,我们扩展了两种方法:1.非均匀变换场分析法(NTFA,Michel 和 Suquet,2003 年)和 2.一种最新的变体,称为基于集群的 NTFA(CNTFA,Ri 等人,2021 年),并对它们进行了比较研究。在 NTFA 方法中,对体积应变场和偏离非弹性应变场分别进行了时空分解。针对目前的情况推导出了一个耦合模型,用于控制由此产生的简化变量的演变。对于 CNTFA 方法,还对微域的空间分解进行了聚类分析。与 NTFA 方法不同的是,在线分析被表述为一个统一的最小化问题,不需要对本例进行重大调整。对于这两种方法,都是从叠加原理中推导出定位规则,然后进行同质化处理,从而获得有效响应。两种方法都详细介绍了基于 FE 的实现方法。数值结果表明,与传统的 FE 计算相比,这两种方法都提供了惊人的加速度。CNTFA 预测比 NTFA 预测更准确,因为在线分析中涉及了集群微观场,从而导致内存需求略有增加。
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来源期刊
Composite Structures
Composite Structures 工程技术-材料科学:复合
CiteScore
12.00
自引率
12.70%
发文量
1246
审稿时长
78 days
期刊介绍: The past few decades have seen outstanding advances in the use of composite materials in structural applications. There can be little doubt that, within engineering circles, composites have revolutionised traditional design concepts and made possible an unparalleled range of new and exciting possibilities as viable materials for construction. Composite Structures, an International Journal, disseminates knowledge between users, manufacturers, designers and researchers involved in structures or structural components manufactured using composite materials. The journal publishes papers which contribute to knowledge in the use of composite materials in engineering structures. Papers deal with design, research and development studies, experimental investigations, theoretical analysis and fabrication techniques relevant to the application of composites in load-bearing components for assemblies, ranging from individual components such as plates and shells to complete composite structures.
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