Reinforcement topology optimization considering the dynamic instability

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Sol Ji Han, Gil Ho Yoon
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引用次数: 0

Abstract

The present study develops a new topology optimization scheme considering the dynamic instability caused by the unsymmetrical properties of system. From a mathematical point of view, the left and right eigenvectors of asymmetric system are observed with the complex eigenvalues. With the dynamic instability, the magnitudes of structural responses are increasing with respect to time and this phenomenon causes many engineering issues. As the dynamic instability is one of the serious problems, the suppression is desired from an engineering point of view. To systematically reduce this dynamic instability, the present study develops a new topology optimization scheme for the reinforcement design. To overcome the numerical difficulties of the mode conversion and the highly nonlinear behavior, this research proposes the summation of the first several complex eigenvalues. To show the issues of the dynamic instability and the validity of the present approach, several topological reinforcement problems are solved.

考虑动力失稳的钢筋拓扑优化
本文提出了一种新的拓扑优化方案,考虑了系统不对称特性引起的动态不稳定性。从数学角度出发,用复特征值观察了非对称系统的左右特征向量。随着动力失稳的发生,结构响应的大小随时间的增加而增大,这一现象引起了许多工程问题。由于动力失稳是一个严重的问题,从工程的角度来看,需要对其进行抑制。为了系统地减少这种动力失稳,本研究提出了一种新的拓扑优化方案用于加固设计。为了克服模式转换的数值困难和高度非线性行为,本研究提出了前几个复特征值的求和。为了说明动力失稳问题和本方法的有效性,对几个拓扑加固问题进行了求解。
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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