{"title":"具有可调谐非光滑非线性振荡器的超声速面板的非线性气动弹性抑制","authors":"Tian Zhao , Meng Li , Wei Tian , Zhichun Yang","doi":"10.1016/j.apm.2025.116400","DOIUrl":null,"url":null,"abstract":"<div><div>A tunable non-smooth nonlinear oscillator (NSNO), comprising a cantilever-beam resonator integrated with dual limiters, has been developed and implemented on a three-dimensional supersonic panel structure to achieve effective flutter suppression and aeroelastic response mitigation. The nonlinear characteristics of the NSNO with piecewise-linear stiffness properties have been analytically investigated through Harmonic Linearization methodology incorporating the Kelvin-Voigt impact model, with experimental validation. The governing equations for nonlinear aeroelastic behavior of the supersonic panel-NSNO coupled system have been formulated using Hamilton's principle and supersonic piston aerodynamic theory, employing the Rayleigh-Ritz approximation approach. Linear flutter analysis demonstrates that the NSNO configuration fundamentally alters the flutter coupling mechanism of the baseline aeroelastic system, resulting in a 33.3 % enhancement of the flutter boundary. Subsequent nonlinear aeroelastic analysis reveals substantial vibration suppression capabilities, with comparative bifurcation analysis indicating up to 92.56 % amplitude reduction across the entire post-flutter regime. Comprehensive parametric studies have identified nonlinear stiffness and collision damping as critical parameters governing suppression performance. An optimized NSNO parameter configuration is established, indicating superior aeroelastic vibration attenuation characteristics. This study demonstrates that NSNO-based structural configuration represents a novel and effective methodology for significant enhancement of aeroelastic stability and nonlinear flutter suppression performance.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"151 ","pages":"Article 116400"},"PeriodicalIF":4.4000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonlinear aeroelastic suppression in a supersonic panel with a tunable non-smooth nonlinear oscillator\",\"authors\":\"Tian Zhao , Meng Li , Wei Tian , Zhichun Yang\",\"doi\":\"10.1016/j.apm.2025.116400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A tunable non-smooth nonlinear oscillator (NSNO), comprising a cantilever-beam resonator integrated with dual limiters, has been developed and implemented on a three-dimensional supersonic panel structure to achieve effective flutter suppression and aeroelastic response mitigation. The nonlinear characteristics of the NSNO with piecewise-linear stiffness properties have been analytically investigated through Harmonic Linearization methodology incorporating the Kelvin-Voigt impact model, with experimental validation. The governing equations for nonlinear aeroelastic behavior of the supersonic panel-NSNO coupled system have been formulated using Hamilton's principle and supersonic piston aerodynamic theory, employing the Rayleigh-Ritz approximation approach. Linear flutter analysis demonstrates that the NSNO configuration fundamentally alters the flutter coupling mechanism of the baseline aeroelastic system, resulting in a 33.3 % enhancement of the flutter boundary. Subsequent nonlinear aeroelastic analysis reveals substantial vibration suppression capabilities, with comparative bifurcation analysis indicating up to 92.56 % amplitude reduction across the entire post-flutter regime. Comprehensive parametric studies have identified nonlinear stiffness and collision damping as critical parameters governing suppression performance. An optimized NSNO parameter configuration is established, indicating superior aeroelastic vibration attenuation characteristics. This study demonstrates that NSNO-based structural configuration represents a novel and effective methodology for significant enhancement of aeroelastic stability and nonlinear flutter suppression performance.</div></div>\",\"PeriodicalId\":50980,\"journal\":{\"name\":\"Applied Mathematical Modelling\",\"volume\":\"151 \",\"pages\":\"Article 116400\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematical Modelling\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0307904X25004743\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25004743","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Nonlinear aeroelastic suppression in a supersonic panel with a tunable non-smooth nonlinear oscillator
A tunable non-smooth nonlinear oscillator (NSNO), comprising a cantilever-beam resonator integrated with dual limiters, has been developed and implemented on a three-dimensional supersonic panel structure to achieve effective flutter suppression and aeroelastic response mitigation. The nonlinear characteristics of the NSNO with piecewise-linear stiffness properties have been analytically investigated through Harmonic Linearization methodology incorporating the Kelvin-Voigt impact model, with experimental validation. The governing equations for nonlinear aeroelastic behavior of the supersonic panel-NSNO coupled system have been formulated using Hamilton's principle and supersonic piston aerodynamic theory, employing the Rayleigh-Ritz approximation approach. Linear flutter analysis demonstrates that the NSNO configuration fundamentally alters the flutter coupling mechanism of the baseline aeroelastic system, resulting in a 33.3 % enhancement of the flutter boundary. Subsequent nonlinear aeroelastic analysis reveals substantial vibration suppression capabilities, with comparative bifurcation analysis indicating up to 92.56 % amplitude reduction across the entire post-flutter regime. Comprehensive parametric studies have identified nonlinear stiffness and collision damping as critical parameters governing suppression performance. An optimized NSNO parameter configuration is established, indicating superior aeroelastic vibration attenuation characteristics. This study demonstrates that NSNO-based structural configuration represents a novel and effective methodology for significant enhancement of aeroelastic stability and nonlinear flutter suppression performance.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.