A layered solid finite element formulation with interlaminar enhanced displacements for the modeling of laminated composite structures

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-08-08 DOI:10.1002/nme.7581
Brian D. Giffin, Miklos J. Zoller
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Abstract

Accurate modeling of layered composite structures often requires the use of detailed finite element models which can sufficiently resolve the kinematics and material behavior within each layer of the composite. However, individually discretizing each material layer into finite elements presents a prohibitive computational expensive given the large number of thin layers comprising some laminated composites. To address these challenges, an 8-node layered solid hexahedral finite element is formulated with the aim of striking an appropriate balance between efficiency and fidelity. The element is discretized into an arbitrary number of distinct material layers, and employs reduced in-plane integration within each layer. The chosen reduced integration scheme is supplemented by a novel physical stabilization approach which includes layerwise enhancements to mitigate various forms of locking phenomena. The proposed framework additionally supports the inclusion of interlaminar enhanced displacements to better represent the kinematics of general layered composite materials. The described element formulation has been implemented in the ParaDyn finite element code, and its efficacy for modeling laminated composite structures is demonstrated on a variety of verification problems.

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用于层状复合材料结构建模的具有层间增强位移的层状实体有限元配方
层状复合材料结构的精确建模通常需要使用详细的有限元模型,以充分解析复合材料各层的运动学和材料行为。然而,由于某些层状复合材料中存在大量薄层,将每层材料单独离散到有限元中会带来令人望而却步的计算成本。为了应对这些挑战,我们制定了一种 8 节点分层实体六面体有限元,目的是在效率和保真度之间取得适当的平衡。该元素被离散化为任意数量的不同材料层,并在每一层内采用减小的平面内积分。所选的简化积分方案辅以新颖的物理稳定方法,其中包括分层增强,以缓解各种形式的锁定现象。此外,建议的框架还支持包含层间增强位移,以更好地表示一般层状复合材料的运动学。所描述的元素配方已在 ParaDyn 有限元代码中实施,并在各种验证问题上演示了其在层状复合材料结构建模方面的功效。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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