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An investigation on vibration energy harvesting using nonlinear dynamic principles inspired by trees

机译:利用树的非线性动力学原理研究振动能量

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Trees exploit intriguing mechanisms such as multimodal frequency distributions and nonlinearities to distribute and dampen the aerodynamically-induced vibration energies to which they are subjected. In dynamical systems, these mechanisms are comparable to the internal resonance phenomenon. In recent years, researchers have harnessed strong nonlinearities, including internal resonance, to induce energetic dynamics that enhance performance of vibration energy harvesting systems. For trees, the internal resonance-like dynamics are evidently useful damping mechanisms in spite of the high variation associated with excitation and structural parameters. Yet for dynamic systems, studies show narrow operating regimes which exhibit internal resonance-based behaviors, suggesting that the energetic dynamics may be deactivated if stochastic inputs corrupt ideal excitation properties. To address these issues, this research evaluates the opportunities enabled by exploiting nonlinear, multimodal motions in an L-shaped energy harvester platform. The system dynamics are probed analytically, numerically, and experimentally for comprehensive insights on the versatility of internal resonance-based behaviors for energy harvesting. It is found that although activating the high amplitude nonlinear dynamics to enhance power generation is robust to significant additive noise in the harmonic excitations, parameter sensitivities may pose practical challenges in application. Discussion is provided on means to address such concerns and on future strategies that may favorably exploit nonlinearity and multimodal dynamics for robust energy harvesting performance.
机译:树木利用有趣的机制(例如多峰频率分布和非线性)来分布和衰减它们所经受的空气动力引起的振动能量。在动力学系统中,这些机制可与内部共振现象相媲美。近年来,研究人员已经利用包括内部共振在内的强大非线性特性,来诱发能增强振动能量收集系统性能的高能动力学。对于树木,尽管与激励和结构参数相关的变化很大,但内部共振式动力学显然是有用的阻尼机制。然而,对于动态系统,研究表明狭窄的运行机制表现出基于内部共振的行为,这表明,如果随机输入破坏理想的激励特性,则可能会停用高能动力学。为了解决这些问题,本研究评估了在L形能量采集器平台中利用非线性,多模式运动带来的机遇。对系统动力学进行了分析,数值和实验研究,以全面了解基于内部共振的能量收集行为的多功能性。已经发现,尽管激活高振幅非线性动力学以增强发电能力对谐波激励中的显着附加噪声具有鲁棒性,但参数灵敏度可能会在应用中带来实际挑战。提供了有关解决此类问题的方法以及未来策略的讨论,这些策略可能有利地利用非线性和多模态动力学来实现强大的能量收集性能。

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