Optimal Design and Sensitivity Analysis of the Dynamic Vibration Absorber With Amplifying Mechanism

IF 2.6 3区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computing and Information Science in Engineering Pub Date : 2023-02-17 DOI:10.1115/1.4056920
Yifan Liu, Jiazhi Cai, Haiyuan Li, Qingbin Gao
{"title":"Optimal Design and Sensitivity Analysis of the Dynamic Vibration Absorber With Amplifying Mechanism","authors":"Yifan Liu, Jiazhi Cai, Haiyuan Li, Qingbin Gao","doi":"10.1115/1.4056920","DOIUrl":null,"url":null,"abstract":"\n We optimize a dynamic vibration absorber (DVA) model equipped with an additional amplifying mechanism using the H_inf optimization criterion, which aims to minimize the maximum frequency response amplitude of the primary structure. This optimization problem is widely investigated using the fixed-point method, which, however, works only when the primary structure is undamped and gives approximate solutions at best. Instead, we seek the exact solutions, and accordingly, a resultant-based optimization scheme is proposed, which allows handling purely univariate polynomial equations in the solving procedure and thus guarantees the convergence and global optimum conditions. Consequently, exactly numerical and closed-form optimal DVA parameters are obtained in the cases where the primary structure is damped and undamped, respectively. Furthermore, we are also interested in the effect of the introduced amplifying mechanism on vibration suppression, showing that it functions as a convenient equivalent mass ratio regulator to benefit the DVA performance. Finally, the presented sensitivity analysis reveals the effect of the small variations of the DVA stiffness and damping on the vibration suppression performance and the role of the amplifying mechanism in balancing such two components' uncertainties. This work generalizes the existing exact H_inf optimization methods and provides a guideline for the enhanced DVA design using the amplifying mechanism.","PeriodicalId":54856,"journal":{"name":"Journal of Computing and Information Science in Engineering","volume":"12 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computing and Information Science in Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4056920","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 1

Abstract

We optimize a dynamic vibration absorber (DVA) model equipped with an additional amplifying mechanism using the H_inf optimization criterion, which aims to minimize the maximum frequency response amplitude of the primary structure. This optimization problem is widely investigated using the fixed-point method, which, however, works only when the primary structure is undamped and gives approximate solutions at best. Instead, we seek the exact solutions, and accordingly, a resultant-based optimization scheme is proposed, which allows handling purely univariate polynomial equations in the solving procedure and thus guarantees the convergence and global optimum conditions. Consequently, exactly numerical and closed-form optimal DVA parameters are obtained in the cases where the primary structure is damped and undamped, respectively. Furthermore, we are also interested in the effect of the introduced amplifying mechanism on vibration suppression, showing that it functions as a convenient equivalent mass ratio regulator to benefit the DVA performance. Finally, the presented sensitivity analysis reveals the effect of the small variations of the DVA stiffness and damping on the vibration suppression performance and the role of the amplifying mechanism in balancing such two components' uncertainties. This work generalizes the existing exact H_inf optimization methods and provides a guideline for the enhanced DVA design using the amplifying mechanism.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
带放大机构的动力减振器优化设计及灵敏度分析
采用H_inf优化准则优化了一个带有附加放大机构的动态吸振器(DVA)模型,其目标是最小化主结构的最大频率响应幅值。该优化问题广泛采用不动点法进行研究,但不动点法仅在主结构无阻尼时有效,最多只能给出近似解。相反,我们寻求精确解,因此,提出了一种基于结果的优化方案,该方案允许在求解过程中处理纯单变量多项式方程,从而保证了收敛和全局最优条件。因此,在主结构有阻尼和无阻尼的情况下,分别获得了精确的数值和封闭形式的最优DVA参数。此外,我们还对引入的放大机制对振动抑制的影响感兴趣,表明它可以作为一种方便的等效质量比调节器来改善DVA性能。最后,本文的灵敏度分析揭示了DVA刚度和阻尼的微小变化对减振性能的影响,以及放大机构在平衡这两个分量的不确定性方面的作用。该工作推广了现有的精确H_inf优化方法,为利用放大机制进行增强型DVA设计提供了指导。
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 去求助
来源期刊
CiteScore
6.30
自引率
12.90%
发文量
100
审稿时长
6 months
期刊介绍: The ASME Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to Algorithms, Computational Methods, Computing Infrastructure, Computer-Interpretable Representations, Human-Computer Interfaces, Information Science, and/or System Architectures that aim to improve some aspect of product and system lifecycle (e.g., design, manufacturing, operation, maintenance, disposal, recycling etc.). Applications considered in JCISE manuscripts should be relevant to the mechanical engineering discipline. Papers can be focused on fundamental research leading to new methods, or adaptation of existing methods for new applications. Scope: Advanced Computing Infrastructure; Artificial Intelligence; Big Data and Analytics; Collaborative Design; Computer Aided Design; Computer Aided Engineering; Computer Aided Manufacturing; Computational Foundations for Additive Manufacturing; Computational Foundations for Engineering Optimization; Computational Geometry; Computational Metrology; Computational Synthesis; Conceptual Design; Cybermanufacturing; Cyber Physical Security for Factories; Cyber Physical System Design and Operation; Data-Driven Engineering Applications; Engineering Informatics; Geometric Reasoning; GPU Computing for Design and Manufacturing; Human Computer Interfaces/Interactions; Industrial Internet of Things; Knowledge Engineering; Information Management; Inverse Methods for Engineering Applications; Machine Learning for Engineering Applications; Manufacturing Planning; Manufacturing Automation; Model-based Systems Engineering; Multiphysics Modeling and Simulation; Multiscale Modeling and Simulation; Multidisciplinary Optimization; Physics-Based Simulations; Process Modeling for Engineering Applications; Qualification, Verification and Validation of Computational Models; Symbolic Computing for Engineering Applications; Tolerance Modeling; Topology and Shape Optimization; Virtual and Augmented Reality Environments; Virtual Prototyping
期刊最新文献
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics Comparative Analysis of CNN Architectures for Automated Knee Segmentation in Medical Imaging: a Performance Evaluation A Novel Approach to Line Clipping Against a Rectangular Window Layered Security Guidance for Data Asset Management in Additive Manufacturing. Algorithm for Detecting Load-Carrying Regions within the Tip Seat of an Indexable Cutting Tool
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1