Modeling of a Bingham model of a magnetorheological damper considering stochastic uncertainties in their geometric variables

Abstract

Stochastic uncertainty theory is used to develop a new Bingham model of magnetorheological dampers superior to the existing model. Some input variables are defined as stochastic variables by the stochastic factor method, and the stochastic Bingham model is developed by the algebraic synthesis method. Curves of the damping force obtained by the stochastic Bingham model and the Bingham model in the literature are compared with experimental results, revealing that the curves obtained by the stochastic Bingham model are much closer to the experimental curves. Therefore, we confirm that the stochastic Bingham model is superior to the model from the literature.

Influence of Magnetic Field and Temperature on Rheological Behavior of Magnetorheological Gel

“…Although there existed many other approaches that could b to attain yield stress, the above-mentioned two approaches are most commonly Moreover, in this paper, Bingham yield stress is chosen as our focus. The expres the Bingham plastic model is [31,32]:…”

“…Moreover, in this paper, Bingham yield stress is chosen as our focus. The expression of the Bingham plastic model is [31,32]:…”