Nonlinear oscillation of elastic sagged cable using refined mode truncation: A comparative study

IF 2.3 3区 工程技术 Q2 ACOUSTICS Journal of Vibration and Control Pub Date : 2024-07-22 DOI:10.1177/10775463241256401
Xin Gao, Tieding Guo, Houjun Kang, Wanzhi Qiao
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Abstract

A nonlinear sagged cable, due to its initial curvature, leads to various challenges of empirical mode truncation used by routine Galerkin method when constructing reduced-order model. It is recently elucidated that ( Guo and Rega, 2023a ), the key for refined mode truncation (and thus for correct nonlinear dynamics prediction) is to first eliminate low-order nonlinear terms of spatial continuous structures. This paper focuses on refined truncation of nonlinear sagged cable by leveraging the recent low-order elimination perspective, which is realized by a normal form development. Further comparative studies for both primary resonant and two-to-one internally resonant dynamics of the sagged cable, including nonlinear frequency responses, backbone curves, and Poincaré mapping, demonstrate notable differences between the two different types of models built by either routine or refined truncation, which confirms necessity of the refined mode truncation used for geometrically nonlinear structures like sagged cables.
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使用精炼模式截断法研究弹性下垂电缆的非线性振荡:比较研究
非线性下垂电缆由于其初始曲率,导致常规 Galerkin 方法在构建降阶模型时所使用的经验模态截断面临各种挑战。最近的研究表明(Guo 和 Rega,2023a),细化模态截断(从而正确预测非线性动力学)的关键是首先消除空间连续结构的低阶非线性项。本文主要利用最新的低阶消除视角,通过正则表达式发展实现非线性矢状索的精细截断。对下垂电缆的主谐振和二对一内部谐振动力学(包括非线性频率响应、主干曲线和 Poincaré 映射)进行的进一步比较研究表明,通过常规截断或精细截断建立的两种不同类型的模型之间存在显著差异,这证实了对下垂电缆等几何非线性结构采用精细模态截断的必要性。
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来源期刊
Journal of Vibration and Control
Journal of Vibration and Control 工程技术-工程:机械
CiteScore
5.20
自引率
17.90%
发文量
336
审稿时长
6 months
期刊介绍: The Journal of Vibration and Control is a peer-reviewed journal of analytical, computational and experimental studies of vibration phenomena and their control. The scope encompasses all linear and nonlinear vibration phenomena and covers topics such as: vibration and control of structures and machinery, signal analysis, aeroelasticity, neural networks, structural control and acoustics, noise and noise control, waves in solids and fluids and shock waves.
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