Numerical optimisation of a classical stochastic system for targeted energy transfer

The paper studies stochastic dynamics of a two-degree-of-freedom system, where primary linear system is connected to nonlinear energy sink with cubic stiffness nonlinearity and viscous damping. While the mass subjected zero-mean Gaussian white noise excitation, main objective this study maximise efficiency targeted transfer in system. A surrogate optimisation algorithm proposed for purpose adopted framework. optimisations are conducted separately coefficient alone as well both damping coefficients together. Three different cost functions, based on either system’s components or dissipated energy, considered. results demonstrate some clear trends values show effect functions optimal coefficients.