A TPAA-SBFE Based Partitioning Algorithm for Structural Viscoelastic Dynamic Analysis With Cyclic Symmetry

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Yang Yu, Chongshuai Wang, Ean Tat Ooi, Sundararajan Natarajan, Haitian Yang
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引用次数: 0

Abstract

An innovative and efficient reduced order algorithm is proposed for the dynamic analysis of 2-D and 3-D viscoelastic structures featuring cyclic symmetry, which is applicable to complete cyclically symmetric structures with or without common nodes, as well as incomplete cyclically symmetric structures. The proposed algorithm is developed on a recursive platform based on TPAA-SBFEM and inherits all the advantages of TPAA-SBFEM. For complete cyclically symmetric structures with or without common nodes, the global stiffness and mass matrices are proved to be block-circulant and can be generated via a cyclically symmetric part instead of the whole domain. And then a recursive partitioning algorithm is rendered, such that the solution scale and computational cost can be efficiently reduced via solving a series of independent problems with small scales. For incomplete cyclically symmetric structures, the complete cyclic symmetry and Woodbury formula are utilized to reduce computational expense. Four numerical examples are provided to elucidate the effectiveness and efficiency of the proposed approach with satisfactory results.

基于TPAA-SBFE的循环对称结构粘弹性动力分析分区算法
提出了一种创新的、高效的二维和三维循环对称粘弹性结构动力学分析降阶算法,该算法适用于有或无公共节点的完全循环对称结构以及不完全循环对称结构。该算法在基于TPAA-SBFEM的递归平台上开发,继承了TPAA-SBFEM的所有优点。对于有或没有公共节点的完全循环对称结构,证明了整体刚度和质量矩阵是块循环的,可以通过循环对称部分而不是整个区域来生成。然后提出了一种递归划分算法,通过求解一系列小尺度的独立问题,有效地降低了求解规模和计算成本。对于不完全循环对称结构,采用完全循环对称和Woodbury公式来减少计算量。给出了四个数值算例,说明了该方法的有效性和高效性,并取得了满意的结果。
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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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