基于遗传算法与随机减量技术的气动阻尼识别方法研究

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Abstract The random decrement technique (RDT) has been widely utilized in the modal parameter identification of engineering structures, due to its advantage of rapid computation and low cost. Aiming at the shortcomings of subjective selection of truncation amplitude and sample duration in the RDT, which brings large error in the modal parameter identification, the genetic algorithm is adopted to revise the RDT and the improved RDT (GA-RDT) method is proposed, and then the GA-RDT method is applied in the aerodynamic damping ratio identification of an aeroelastic model of a supertall building. Firstly, the free decay curve obtained by the RDT is fitted and then the error is defined. The effect of the cut-off amplitude and sample duration on the optimization target is analyzed and the genetic algorithm is utilized to search the optimal solution of these two parameters. Secondly, based on the tip acceleration time history acquired by the aeroelastic model wind tunnel test, the aerodynamic damping ratio is identified by combining the GA-RDT and Hilbert-Huang transformation method. Finally, the aerodynamic damping ratio identified by the natural excitation technique (NExT) is regarded as the benchmark, and the identification accuracy based on the GA-RDT method and traditional RDT method are discussed. The results show that, when compared with the aerodynamic damping ratio identified by the NExT method, the corresponding results identified by the GA-RDT method under different wind speeds have an average error of less than 0.14% in the X, Y and torsional directions respectively, and the identification accuracy is much better than those identified by the traditional RDT method. Therefore, the feasibility of the aerodynamic damping identification method based on the GA-RDT method is verified.

Key words： supertall building aerodynamic damping identification genetic algorithm improved random decrement technique natural excitation technique

Received: 08 November 2021 Published: 28 March 2023

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	TANG Longfei1
	2
	ZHENG Chaorong1
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Cite this article:

TANG Longfei1,2,ZHENG Chaorong1, et al. Identification method of aerodynamic damping based on the genetic algorithm and random decrement technique[J]. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(6): 16-23.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2023/V42/I6/16

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