Parameter Uncertainty Of Magnetorheological Damper And Application In Earthquake Resistance

Magneto-Rheological(MR)dampers provide a viable alternative for structural vibration control.Realistic modeling of MR dampers is critical for control development and structural design.Most existing models phenomenological for MR dampers are derived from experimental observations.Vibration control design based on deterministic values might not provide reliable response prediction due to inherent parameter uncertainties from model optimization.Uncertainty analysis of damper parameters from laboratory experiments could provide important and complementary quantification of potential effect on vibration control design and evaluation.In this study,several existing MR damper models are evaluated for their parameter uncertainties based on experimental identification test results of a large-scale 200 kN MR damper.The Markov-Chain Monte Carlo simulation is combined with Generalized Likelihood Uncertainty Estimation(GLUE)method to derive the posterior distribution of model parameters.Prediction of MR damper mechanical behavior is further used to compare the influence of model parameter uncertainties on damper behavior.After the uncertain parameters of three different damper models are obtained,using the 3-Moment method considering correlation for parameters re-sampling.Then,they are further applied to the results of a three-story nonlinear steel frame.Using the simple control method of constant current,according to different working conditions,that is,all damper parameters are fully related and the damper parameters of the same floor are fully related,the response changes of acceleration,inter floor displacement and so on caused by the uncertainty of damper parameters are discussed and analyzed.In order to evaluate the influence of control device uncertainty in structure simulation.