Cross-scale integrated optimization of control system with multiple MR dampers for spatial torsional vibration mitigation

Abstract

For irregular structures with spatial torsional vibrations, the application of multiple magnetorheological (MR) dampers has been proven to be an effective way of vibration control. In control systems equipped with numerous MR dampers, a critical issue is optimizing the layout of these dampers to achieve the optimal control objectives at minimal cost. Moreover, the micro-parameters of MR fluid and the macro-parameters of MR dampers significantly influence the damping effect of the control system. Consequently, it is imperative to concurrently optimize these cross-scale parameters within the MR control system. Addressing these issues, this study aims to optimize the MR damped structure in cross scales for the mitigation of torsional vibrations in spatial irregular structures, ensuring balanced vibration mitigation while minimizing the economic cost of the MR damping system. Based on the multi-factor mathematical model of MR dampers proposed in previous research, a joint simulation platform combining OpenSEES and Matlab was established. Utilizing the OpenSEES-Matlab platform and the genetic algorithm, a cross-scale integrated optimization method of the micro-parameters of the MR fluid, the size parameters of the MR dampers, as well as their layout was proposed. The efficacy and effectiveness of the proposed cross-scale integrated optimization method were validated through comparisons of experimental results of the MR fluid and MR dampers before and after optimization, and the numerical simulation results of the MR damped structure. This study provides an effective integrated optimization method for the application of MR damping systems in structural vibration control, particularly for the control of torsional vibrations in spatial irregular structures.