Bar Axial Force Correction Method for the Elastic Performance of Truss Materials With Periodic Units

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Mengfei Shang, Panxu Sun, Dongwei Wang, Shuxia Wang
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引用次数: 0

Abstract

A bar axial force correction method is proposed on the basis of the representative volume element (RVE) method in this paper, which can predict the elastic performance of truss materials with periodic units. Based on the bar axial force correction method, the problem that the RVE method that node reaction forces on the common boundary may be unbalanced can be solved. For truss materials with periodic units, the effective elastic parameters and nodal displacement responses based on the proposed method are completely consistent those for the asymptotic homogenization (AH) method. Meanwhile, the proposed method is simpler than the AH method. Furthermore, compared with the axial compression experiment, the elastic modulus error of the proposed method is 3.81%. Thus, the correctness of this method is proved. Finally, the comparisons of different homogenization methods are analyzed in the numerical examples. The numerical examples show that the calculation results of the proposed method are the same as those of the AH method. Compared with the AH method, the maximum error of effective elastic parameters and nodal displacements for the RVE method are 22.51% and 13.65%, respectively. Compared with the AH method, the maximum error of effective elastic parameters and nodal displacements for the two-node (TN) method are 14.43% and 10.60%, respectively. Therefore, the bar axial force correction method has a wider range of applications and higher computational accuracy.

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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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