Abstract: Dynamical finite element method requires solving system information at each time step, and the computational effort is much larger than solving the static ones. Thus, to improve computational efficiency and save computational effort is one the of the main research content in dynamics. The present paper introduces an arbitrarily mixed explicit-implicit asynchronous integration algorithm based on uniform Newmark discretization format, for the efficiently solving of the large and complex dynamic systems. The overall dynamical system can be partitioned into different parts according to the physical and mechanical properties, as well as the requirements of solution accuracy, and the system equation can be solved in multi-scale both at the space domain and time domain. According to the inherent message passing mechanisms of the explicit and implicit algorithm, a variable boundary treatment method was adopted to avoid the accumulation of errors at the asynchronous boundary. The simulation time steps were dynamically determined and corrected according to the energy balance checking, which can effectively prevent the emergence and development of the instability. Numerical example shows that the proposed algorithm can greatly reduce the consumption of computing resources while maintaining high accuracy, thus it has a high practical value.