Modeling the Response of an Electrorheological Fluid Damper: Constitutive Models and Neural Networks
S. Burton, N. Makris, I. Konstantopoulos and P. J. Antsaklis
Journal of Intelligent Automation and Soft Computing, Vol. 2, No. 4, pp. 339-354, 1996.
Abstract -- This article presents three models for predicting the response on an electrorheological (ER) fluid damper developed for seismic protection of structures. The proposed ER damper is a semi-active device and the resulting damping forces can be controlled by applying an electric field. First the performance of a simple nonlinear phenomenonological model is investigated. Subsequently, a neural network model is evaluated. Finally, a combination of the phenomenonological model and the neural network is presented to approximate the response of the ER fluid damper. The performance of the proposed models is validated against experimental data.
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