Concurrent Optimization of Structures and Anisotropic Materials for Mechanical Cloaking

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Yifu Lu, Liyong Tong
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引用次数: 0

Abstract

This paper studies the concurrent optimization of structural topologies and material properties for mechanical cloaking problems, in which the macrostructures, microstructures, and novel spatially-varying microstructure orientations of the cloaking devices are simultaneously considered and form a multiscale topology optimization problem. In this work, we (1) propose a new element-based objective function for mechanical cloaking; (2) establish generic mathematical formulations to model the multiscale optimization problem, including a novel mathematical relation between the original objective function and material microstructures, and implement the formulated optimization problem via an extended moving iso-surface threshold (MIST) method; (3) investigate the concurrent optimization of the macrostructure and material microstructures and orientations; (4) propose a novel analytical method derived for fully anisotropic materials to compute the optimal material orientations. Benchmark numerical examples are investigated to validate the proposed method. The present numerical results show that the proposed method can improve the cloaking performance by up to 26.25% compared with the literature.

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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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