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一种新型可调谐准零刚度系统的非线性行为及能量收集性能

Nonlinear behavior and energy harvesting performance of a new tunable quasi-zero stiffness system.

作者信息

Wang Xinzong, Kang Xiaofang, Zhang Ao

机构信息

School of Civil Engineering, Anhui Jianzhu University, Hefei, 230601, Anhui, China.

Key Laboratory of Environmental Geotechnics, Anhui Jianzhu University, Hefei, 230601, Anhui, China.

出版信息

Sci Rep. 2024 Oct 8;14(1):23392. doi: 10.1038/s41598-024-75109-6.

DOI:10.1038/s41598-024-75109-6
PMID:39379685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11461931/
Abstract

Energy harvesting from vibrations is a popular research topic. However, it is difficult to change the values of its dynamic stiffness characteristics during the operation of device. This paper analyzes the nonlinear dynamical behavior and energy harvesting performance of an energy harvesting device with a gear unit and an inertial amplifier. The Melnikov method is used to discriminate the chaos behavior of the system and is illustrated by numerical simulations. Chaotic dynamics analysis provides a simplified analytical idea that offers more insight into the performance of this energy harvesting device. In addition, the basins of attraction of the coexistence solution of the system are plotted, and the trajectory and energy harvesting efficiency of the system are analyzed for changes in the initial value. The results show that the device has the convenience to change the form and efficiency of system energy harvesting. The theory of Melnikov functions recognizes the presence of chaos and can provide solutions for the parameterization of the system. The choice of initial value greatly affects the energy harvesting efficiency.

摘要

从振动中收集能量是一个热门的研究课题。然而,在设备运行过程中改变其动态刚度特性的值是困难的。本文分析了一种带有齿轮单元和惯性放大器的能量收集装置的非线性动力学行为和能量收集性能。采用梅尔尼科夫方法判别系统的混沌行为,并通过数值模拟进行了说明。混沌动力学分析提供了一种简化的分析思路,能更深入地了解这种能量收集装置的性能。此外,绘制了系统共存解的吸引域,并针对初始值的变化分析了系统的轨迹和能量收集效率。结果表明,该装置具有改变系统能量收集形式和效率的便利性。梅尔尼科夫函数理论识别出了混沌的存在,并能为系统的参数化提供解决方案。初始值的选择对能量收集效率有很大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/63d38c5197b8/41598_2024_75109_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/cfff6a85da3e/41598_2024_75109_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/f0cacf7a8206/41598_2024_75109_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/a7b282894112/41598_2024_75109_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/78b226f3a561/41598_2024_75109_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/d61e616b6781/41598_2024_75109_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/2e40fef582ac/41598_2024_75109_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b01d/11461931/63d38c5197b8/41598_2024_75109_Fig11_HTML.jpg

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