Direct Load-Carrying Boundary Identification-Based Topology Optimization Method for Structures With Design-Dependent Boundary Load

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Boyuan Fan, Huixin Huang, Jingyu Hu, Shutian Liu
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引用次数: 0

Abstract

During topology optimization with design-dependent boundary load, updating the load conditions is necessary. However, it is challenging to identify the load-carrying boundary in density-based topology optimization frame. To address this issue, a direct load-carrying boundary identification method is proposed to describe and update the design-dependent boundary load, and a topology optimization method for structures with design-dependent boundary load is presented. First, a Flood Fill algorithm (FFA) based domain extension method is introduced to generate a new structure with a boundary equivalent to the load-carrying boundary of the original structure. Then, the erosion boundary identification method is applied to the new structure to identify the load-carrying boundary instead of the original structure. Finally, the load information (direction and magnitude) of the design-dependent boundary load is determined using a normalized gradient algorithm, which completes the update of the design-dependent boundary load. This method overcomes the difficulty of identifying the load-carrying boundary in density-based methods. The effectiveness of this method is demonstrated by several examples of minimum compliance (including 3D) and flexible mechanisms.

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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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