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Piezoelectric wind energy harvesting subjected to the conjunction of vortex-induced vibration and galloping: comprehensive parametric study and optimization

机译:压电风能收割经受涡旋诱发的振动和疾驰的结合:综合参数研究和优化

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摘要

This study performs a comprehensive parametric study and optimization of a piezoelectric wind energy harvester subjected to the conjunction of vortex-induced vibration (VIV) and galloping. The mathematical model of the harvester undergoing both the VIV and galloping is formulated, which is experimentally validated through the wind tunnel tests. The experimental results uncover that different combinations of the aerodynamic parameters of the model significantly influence the system dynamic behaviors. Changing the bluff body's cross-section shape can alter the aerodynamic parameters. In the experiment, a unique hump phenomenon due to the coupled VIV and galloping is discovered, which significantly improves the voltage output. The influence of each aerodynamic parameter on the system performance is revealed, and the aerodynamic parameter's effect is also mathematically interpreted by the terms in the governing equations. Finally, this study presents an effective structural optimization method based on the genetic algorithm (GA) to seek the optimal structural natural frequency matching up the given aerodynamic parameters. Results show that the piezoelectric wind energy harvester with the optimal designed natural frequency outperforms the harvester with other values, and the performance is also robust against a certain range of the parametric uncertainties.
机译:本研究表演了综合参数研究和优化对涡旋诱导的振动(VIV)和疾驰的结合的压电风能收割机。制定了经过VIV和疾驰的收割机的数学模型,通过风隧道试验进行实验验证。实验结果揭示了模型的空气动力学参数的不同组合显着影响了系统动态行为。改变虚张声体的横截面形状可以改变空气动力学参数。在实验中,发现了由于耦合的VIV和疾驰引起的独特驼峰现象,从而显着提高了电压输出。揭示了每个空气动力学参数对系统性能的影响,并且空气动力学参数的效果也是由控制方程中的术语数学解释的。最后,本研究提出了一种基于遗传算法(GA)的有效的结构优化方法,以寻求匹配给定的空气动力学参数的最佳结构自然频率。结果表明,具有最佳设计的自然频率的压电风能收割机与其他值的收割机优于收割机,并且性能对参数不确定性的一定范围的性能也是坚固的。

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