Research on Suppression and Optimization Algorithm of Tuned Mass Damper for Dynamic Response of Wind Power Mixing Tower in Complex Environment

As a high-rise structure, wind power hybrid tower is prone to dynamic response in complex environments such as fluctuating wind load, operating load, extreme storm and earthquake, which threatens the structural safety. As a passive vibration control device, tuned mass damper (TMD) resonates with the main structure by adjusting its own parameters and absorbs vibration energy, thus suppressing vibration. In this paper, the natural frequency, mass, stiffness and damping ratio of TMD are designed according to the characteristics of natural frequency of wind power mixing tower, and the parameters of TMD are optimized by genetic algorithm (GA) in order to find the best parameter combination and further improve its suppression effect. The three-dimensional dynamic model of wind power hybrid tower and TMD is established by finite element analysis software ANSYS, and the time history analysis is carried out by applying complex environmental loads. The results show that the displacement, acceleration and stress response of wind power hybrid tower are significantly suppressed after adding TMD, and the optimized TMD parameters are more in line with the natural vibration characteristics and dynamic response characteristics of wind power hybrid tower, which can better use resonance effect to suppress structural vibration. In addition, it is also found that the complex environmental load and the structural parameters of the wind power mixing tower have significant influence on the vibration control effect of TMD, and these factors should be considered comprehensively in TMD design to ensure the best performance.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/edpee65754.2025.00255
Primary Topic
Vibration and Dynamic Analysis
Type
article
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Research on Suppression and Optimization Algorithm of Tuned Mass Damper for Dynamic Response of Wind Power Mixing Tower in Complex Environment

Zhan Xu, Peng Li, Peng Wu, Chen Chen et al.
Vibration and Dynamic Analysis
article

Research on Suppression and Optimization Algorithm of Tuned Mass Damper for Dynamic Response of Wind Power Mixing Tower in Complex Environment

Zhan Xu, Peng Li, Peng Wu, Chen Chen, Zhiguo Li
article en

Abstract

As a high-rise structure, wind power hybrid tower is prone to dynamic response in complex environments such as fluctuating wind load, operating load, extreme storm and earthquake, which threatens the structural safety. As a passive vibration control device, tuned mass damper (TMD) resonates with the main structure by adjusting its own parameters and absorbs vibration energy, thus suppressing vibration. In this paper, the natural frequency, mass, stiffness and damping ratio of TMD are designed according to the characteristics of natural frequency of wind power mixing tower, and the parameters of TMD are optimized by genetic algorithm (GA) in order to find the best parameter combination and further improve its suppression effect. The three-dimensional dynamic model of wind power hybrid tower and TMD is established by finite element analysis software ANSYS, and the time history analysis is carried out by applying complex environmental loads. The results show that the displacement, acceleration and stress response of wind power hybrid tower are significantly suppressed after adding TMD, and the optimized TMD parameters are more in line with the natural vibration characteristics and dynamic response characteristics of wind power hybrid tower, which can better use resonance effect to suppress structural vibration. In addition, it is also found that the complex environmental load and the structural parameters of the wind power mixing tower have significant influence on the vibration control effect of TMD, and these factors should be considered comprehensively in TMD design to ensure the best performance.

Powerchina Huadong Engineering Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Vibration and Dynamic Analysis
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