Multiscale Topology Optimization Based on Moving Iso-Surface Threshold Using Isogeometric Analysis

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Xiaonan Su, Wenjiong Chen
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引用次数: 0

Abstract

This paper aims to optimize both the topology of microstructure and macrostructure, by using the Moving Iso- Surface Threshold (MIST) method under the framework of Isogeometric Analysis (IGA). To achieve this, the physical response and the equivalent properties of the microstructure are solved by IGA. The physical response functions are defined at the control points. The NURBS fitting method is used to fit the physical response function, generating a NURBS surface for describing the physical response function, that is, the explicitly described physical response function surface. An iso-surface cut the NURBS physical response surfaces to obtain the explicitly described structure topology. In addition, the standard IGS files of the NURBS physical response surface and iso-surface can be transferred to Computer-Aided-Design (CAD) software without post-processing. The multiscale structure can be easily assembled in CAD software using the proposed method. Finally, several numerical examples are performed to demonstrate the effectiveness and efficiency of the proposed method. Obtained results show good agreement with examples in literature in terms of both topology and final value of objective function.

本文在等几何分析(IGA)的框架下,采用移动等表面阈值(MIST)方法对材料的微观结构和宏观结构进行拓扑优化。为了实现这一目标,利用IGA求解了微观结构的物理响应和等效性质。在控制点处定义物理响应函数。采用NURBS拟合方法对物理响应函数进行拟合,生成描述物理响应函数的NURBS曲面,即显式描述的物理响应函数曲面。等面切割NURBS物理响应面,得到明确描述的结构拓扑。此外,NURBS物理响应面和等曲面的标准IGS文件可以不经过后处理直接传输到计算机辅助设计(CAD)软件中。采用该方法可以方便地在CAD软件中进行多尺度结构的组装。最后,通过数值算例验证了该方法的有效性和高效性。所得结果在拓扑结构和目标函数的最终值方面与文献中的算例吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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