Summary
The paper delves into the stochastic dynamics of a nonlinear two-degree-of-freedom system coupled with a nonlinear energy sink (NES). Under random excitation on the primary mass, the primary objective is to maximise targeted energy transfer efficiency, investigating the impact of various nonlinear damping models. A surrogate optimisation algorithm, applied within the stochastic framework, is introduced. The optimisation involves both nonlinear stiffness and nonlinear damping terms simultaneously. Three distinct cost functions, rooted in mean energy or mean dissipated energy of system components, are considered. Results highlight the nonlinear damping's influence on the sink's parameters and illustrate how different cost functions affect optimal values of the nonlinear system's coefficients.
