Suppr超能文献

基于启发式方法的自重载荷作用下周期性结构的拓扑优化

Topology Optimization of Periodic Structures Subject to Self-Weight Loading Using a Heuristic Method.

作者信息

Tajs-Zielińska Katarzyna

机构信息

Faculty of Mechanical Engineering, Cracow University of Technology, 31-155 Cracow, Poland.

出版信息

Materials (Basel). 2024 Nov 19;17(22):5652. doi: 10.3390/ma17225652.

Abstract

This paper deals with the actual and challenging process of the optimal design of topologies of periodic structures taking into account the design-dependent loads. The topology formulation used in this paper minimizes the compliance value of the structure and is subject to a total volume constraint while maintaining a periodic pattern and self-weight load. This combination represents a promising and original contribution to the field of ongoing research, although it is not yet widely recognized. This paper aims to fill this gap by presenting the first results of numerical optimization tests. The redistribution of material within a design domain is governed by the rules of Cellular Automata, a locally oriented optimization tool that can be applied to all types of structural optimization, including topology optimization. The technique has been demonstrated by numerical tests on two- and three-dimensional examples. The calculations were performed for different types of periodic schemes. The optimized structures did not show the checkerboard effect or the presence of residual gray elements in the final topologies. The strategy used in this paper ensures connectivity between periodic subdomains without imposing additional conditions on the algorithm.

摘要

本文探讨了考虑与设计相关载荷的周期性结构拓扑优化设计的实际且具有挑战性的过程。本文中使用的拓扑公式使结构的柔度值最小化,并在保持周期性模式和自重载荷的同时受到总体积约束。尽管这一组合尚未得到广泛认可,但它对当前研究领域做出了有前景且原创的贡献。本文旨在通过展示数值优化测试的首批结果来填补这一空白。设计域内材料的重新分布由元胞自动机规则控制,元胞自动机是一种局部导向的优化工具,可应用于包括拓扑优化在内的所有类型的结构优化。该技术已通过二维和三维示例的数值测试得到验证。针对不同类型的周期性方案进行了计算。优化后的结构在最终拓扑中未显示棋盘格效应或残留灰色元素。本文所采用的策略确保了周期性子域之间的连通性,而无需对算法施加额外条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a27a/11595540/7cc7fdc8b8d3/materials-17-05652-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验