Particle damper (PD) is an effective and low-cost passive damping technique that can be used for vibration control of host structures for a wide range of ambient temperature and frequency variation. A particle damper usually consists of several small-sized particles inside a container attached to the host structure. When the host structure vibrates, the damper attenuates structural vibration by absorbing the kinetic energy of the host structure through friction and inelastic collisions between particles and particle to container walls. In the present work, a numerical model is proposed for investigating the particle damper behaviour in attenuating structural vibration. The discrete element method (DEM) is employed to model the particle damper using LIGGGHTS (an opensource software) and the host structure is modelled following the finite element method (FEM) in the Python platform. A coupling strategy is developed and implemented in the present research work for bidirectional data exchange between Python and LIGGGHTS to couple the DEM and FEM simulation. Numerical simulations are carried out to find the effectiveness of particle dampers in attenuating the dynamic response of an aluminium flat panel by varying the mass ratio of PD for different types of external excitations. It is concluded that the developed numerical model can be successfully applied to model any structure with complex geometry and boundary conditions, with PD attached to it.