Shape Optimization of Tunable Poisson's Ratio Metamaterials With Disk B-Splines

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-12-06 DOI:10.1002/nme.7620
Yihui Ye, Nan Zheng, Xiaoya Zhai, Hongmei Kang, Falai Chen
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Abstract

We propose an explicit representation method using disk B-splines for Poisson's ratio metamaterial design. Disk B-spline representation generalizes the concept of the B-spline control point into a control disk, enhancing the ability to manipulate both the shape and thickness of the region. Therefore, this representation is frequently employed for shape optimization. The optimized metamaterials described by disk B-spline are decomposed into a sequence of circles constructing one implicit function. A novel optimization model based on disk B-spline representation is proposed, and the homogenization theory is used for calculating effective Poisson's ratio (PR). The numerical examples contained missing rib metamaterials, petal-like metamaterials, and extreme PR metamaterials, which are studies to illustrate the advantages and effectiveness. By explicitly manipulating the parameters of the disk's B-spline, a broad spectrum of unexpectedly negative Poisson's ratio from -0.1 to -0.9 sequences can be achieved, and arbitrary Poisson's ratios structures can be obtained through interpolating continuous parameters. It's also extended to encompass 3D structures. We validate the accuracy of our results by comparing them with simulations performed using commercial software.

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圆盘b样条可调泊松比超材料的形状优化
提出了一种利用圆盘b样条进行泊松比超材料设计的显式表示方法。磁盘b样条表示将b样条控制点的概念推广到控制磁盘中,增强了对区域形状和厚度的操纵能力。因此,这种表示经常用于形状优化。用圆盘b样条描述的优化后的超材料被分解为构造一个隐函数的圆序列。提出了一种基于圆盘b样条表示的优化模型,并利用均匀化理论计算有效泊松比(PR)。数值算例包括缺失肋状材料、花瓣状材料和极端PR材料,说明了该方法的优越性和有效性。通过对圆盘b样条参数的显式操纵,可以获得-0.1 ~ -0.9序列的非预期负泊松比的广谱,并且可以通过插值连续参数获得任意泊松比结构。它还扩展到包含3D结构。通过与商业软件的模拟结果进行比较,验证了结果的准确性。
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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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