Parameter sensitivity analysis and optimum model of the magnetorheological damper's Bouc–Wen model. (October 2021)

• Record Type: Journal Article
• Authors: Jiang, Min; Rui, Xiaoting; Zhu, Wei; Yang, Fufeng; Zhu, Hongtao; Jiang, Rilang
• Is Part Of: Journal of vibration and control. Volume 27:Number 19/20(2021)
• Page Start: 2291
• Page End: 2302
• Publication Date: 2021-10
• Subjects: Bouc–Wen model -- magnetorheological damper -- parameter identification -- sensitivity analysis -- optimization; Vibration -- Periodicals; Damping (Mechanics) -- Periodicals; 620.3
• DOI: 10.1177/1077546320959290
• Languages: English
• ISSNs: 1077-5463

Abstract

To overcome the shortcomings of the Bouc–Wen model, such as too many parameters, complex identification process, and long time consuming, the sensitivity of parameters was analyzed. A Bouc–Wen optimum model with sensitive parameters to guarantee calculating accuracy was established. First, according to the results of the magnetorheological damper's mechanical property test, the sensitivity of Bouc–Wen model's parameters was analyzed by the one-at-a-time method. Optimization of the Bouc–Wen model was completed. Second, the parameters of the Bouc–Wen optimum model were identified under three harmonic excitations. Compared with the original Bouc–Wen model, the differences of calculation accuracy were 0.0055, 0.0007, and 0.0070 respectively. And the convergence rate of the fitness function for parameter identification increased by 67.89%, 49.94%, and 67.24%, respectively. And the iteration time of 1000 iterations was shortened by 36.52%, 25.95%, and 64.11%, respectively. It indicates that the Bouc–Wen optimum model had higher efficiency and certain accuracy in parameter identification process. Then, the calculation accuracy of Bouc–Wen optimum model with independent and coupled mean parameters were analyzed respectively. Finally, the parameters of the Bouc–Wen optimum model and current were fitted by the least square method. The results showed that the Bouc–Wen optimum model can accurately and efficiently simulate the dynamic characteristics of magnetorheological dampers.