Normalized Field Product Approach: A Parameter-Free Density Evaluation Method for Close-To-Binary Solutions in Topology Optimization With Embedded Length Scale

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Nikhil Singh, Prabhat Kumar, Anupam Saxena
{"title":"Normalized Field Product Approach: A Parameter-Free Density Evaluation Method for Close-To-Binary Solutions in Topology Optimization With Embedded Length Scale","authors":"Nikhil Singh,&nbsp;Prabhat Kumar,&nbsp;Anupam Saxena","doi":"10.1002/nme.7673","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article provides a normalized field product approach for topology optimization to achieve close-to-binary optimal designs. The method uses a parameter-free density measure that enforces a specified minimum length scale on the solid phase, ensuring smooth and transition-free topologies. The density evaluation does not rely on weight functions; however, the associated density functions are required to confined between 0 and 1. The method combines the SIMP scheme with the introduced density function for material stiffness interpolation. The success and efficacy of the approach are demonstrated through the design of both two- and three-dimensional designs, including stiff structures and compliant mechanisms. The structure's compliance is minimized for the former, whereas the latter involves optimizing a multicriteria objective. The presented numerical examples consider different volume fractions, length scales, and density functions. The proposed method is also seamlessly extended with advanced elements for solving 3D problems. The optimized designs obtained are close to binary without any user intervention while satisfying the desired feature size on the solid phase.</p>\n </div>","PeriodicalId":13699,"journal":{"name":"International Journal for Numerical Methods in Engineering","volume":"126 7","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nme.7673","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This article provides a normalized field product approach for topology optimization to achieve close-to-binary optimal designs. The method uses a parameter-free density measure that enforces a specified minimum length scale on the solid phase, ensuring smooth and transition-free topologies. The density evaluation does not rely on weight functions; however, the associated density functions are required to confined between 0 and 1. The method combines the SIMP scheme with the introduced density function for material stiffness interpolation. The success and efficacy of the approach are demonstrated through the design of both two- and three-dimensional designs, including stiff structures and compliant mechanisms. The structure's compliance is minimized for the former, whereas the latter involves optimizing a multicriteria objective. The presented numerical examples consider different volume fractions, length scales, and density functions. The proposed method is also seamlessly extended with advanced elements for solving 3D problems. The optimized designs obtained are close to binary without any user intervention while satisfying the desired feature size on the solid phase.

归一化域积法:嵌入式长度尺度拓扑优化中接近二值解的无参数密度评价方法
本文为拓扑优化提供了一种标准化的域积方法,以实现接近二进制的优化设计。该方法使用无参数密度测量,强制在固相上指定最小长度尺度,确保平滑和无过渡拓扑。密度评价不依赖于权函数;然而,相关的密度函数被限制在0和1之间。该方法将SIMP格式与引入的密度函数相结合,用于材料刚度插值。通过二维和三维设计,包括刚性结构和柔性机构的设计,证明了该方法的成功和有效性。前者将结构的遵从性最小化,而后者则涉及到多标准目标的优化。给出的数值例子考虑了不同的体积分数、长度尺度和密度函数。该方法还可以与高级元素无缝扩展以解决三维问题。得到的优化设计在满足固相特征尺寸要求的情况下,在没有任何用户干预的情况下接近二进制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信