{"title":"带放大机构的动力减振器优化设计及灵敏度分析","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":"{\"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}","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}
Optimal Design and Sensitivity Analysis of the Dynamic Vibration Absorber With Amplifying Mechanism
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.
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