采用0-1试验对非线性涡激振动能量采集器的周期运动和混沌运动进行了诊断

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-01-21 DOI:10.1016/j.chaos.2025.116036
Xiaoqing Ma, Grzegorz Litak, Shengxi Zhou
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引用次数: 0

摘要

非线性风致振动能量采集器具有丰富的响应动力学特性,对其响应特性的诊断是促进其应用的关键。本文采用“0-1检验”的分析方法对双稳态和三稳态涡激振动能量收割机(VIVEHs)的响应特性进行了区分,并将识别结果与相位肖像、频谱和李亚普诺夫指数进行了比较。结果表明,“0-1检验”的分析方法可以通过p-q、渐近增长率K(c)和均方位移Mc(n)的轨迹,有效地区分非线性VIVEHs的周期和混沌行为。综上所述,本研究表明,“0-1试验”方法对于识别非线性振动能量采集器的动态特性是可行和可靠的,对非线性振动能量采集器的优化分析具有重要意义。
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Using 0–1 test to diagnose periodic and chaotic motions of nonlinear vortex-induced vibration energy harvesters
Nonlinear wind-induced vibration energy harvesters have rich response dynamic behaviors, and diagnosing these response characteristics is crucial for promoting their application. This paper uses the analysis method of “0–1 test” to distinguish response characteristics of bistable and tristable vortex-induced vibration energy harvesters (VIVEHs), and the identification results are compared with the phase portraits, frequency spectrum and Lyapunov exponents. Results indicate that the analysis method of “0–1 test” can effectively distinguish the periodic and chaotic behaviors of the nonlinear VIVEHs by the trajectories of p-q, asymptotic growth rate K(c) and the mean square displacement Mc(n). Overall, this study indicates that the “0–1 test” method is feasible and reliable for identifying the dynamic characteristics of nonlinear vibration energy harvesters, which is meaningful to the optimization analysis of such harvesters.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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