Hybrid Carrera Unified Formulation Plate Elements for Nearly Incompressible Hyperelastic Plates

IF 3.3 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Xueyan Hu, Erasmo Carrera, Alfonso Pagani, Weiqiu Chen
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引用次数: 0

Abstract

Incompressible hyperelastic plates are widely used as fundamental structures in soft robotics and flexible devices, yet their nonlinear analysis remains challenging due to volumetric and shear locking. This work develops a family of locking-free hybrid carrera unified formulation (CUF) plate elements based on a mixed u–p variational setting. By exploiting the features of CUF, various structural theories with different displacement–pressure approximate orders are constructed to balance computational accuracy and efficiency, and the mixed interpolation of tensorial components (MITC) technique is incorporated to ensure locking-free performance for low-order in-plane discretizations in the thin-plate limit. Several benchmark and representative numerical examples, covering different through-the-thickness descriptions of the primary unknowns and mesh densities, demonstrate that the proposed hybrid CUF elements eliminate locking and accurately capture pressure variations with significantly fewer degrees of freedom than conventional three-dimensional solid models.

几乎不可压缩超弹性板的混合Carrera统一公式板单元
不可压缩超弹性板作为软机器人和柔性装置的基础结构被广泛应用,但由于体积锁和剪切锁,其非线性分析仍然具有挑战性。本工作基于混合u-p变分设置,开发了一组无锁的混合卡雷拉统一公式(CUF)板单元。利用CUF的特点,构建了具有不同位移-压力近似阶数的各种结构理论,以平衡计算精度和效率,并引入了张拉分量混合插值(MITC)技术,以保证薄板极限下低阶面内离散的无锁定性能。几个基准和代表性的数值例子,涵盖了主要未知数和网格密度的不同厚度描述,表明所提出的混合CUF单元消除了锁定,并准确地捕获了压力变化,其自由度明显低于传统的三维实体模型。
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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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