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

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Tian Zhao , Meng Li , Wei Tian , Zhichun Yang
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引用次数: 0

摘要

研制了一种可调谐非光滑非线性振荡器(NSNO),该非光滑非线性振荡器由集成了双限制器的悬臂梁谐振腔组成,并在三维超声速板结构上实现了有效的颤振抑制和气动弹性响应缓解。通过结合Kelvin-Voigt冲击模型的谐波线性化方法,分析了具有分段线性刚度特性的NSNO的非线性特性,并进行了实验验证。利用哈密顿原理和超声速活塞气动理论,采用瑞利-里兹近似方法,建立了超声速板-非声源no耦合系统非线性气动弹性行为的控制方程。线性颤振分析表明,NSNO构型从根本上改变了基准气动弹性系统的颤振耦合机制,使颤振边界增强了33.3%。随后的非线性气动弹性分析显示了大量的振动抑制能力,对比分岔分析表明,在整个颤振后状态下,振幅减少了92.56%。综合参数研究表明,非线性刚度和碰撞阻尼是控制抑制性能的关键参数。建立了优化后的NSNO参数配置,表明NSNO具有良好的气动弹性减振特性。研究表明,基于nsno的结构配置是一种新颖有效的方法,可以显著提高气动弹性稳定性和非线性颤振抑制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
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.
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