Given the relatively time-consuming offline data trainingphase of the parametric model order reduction (PMOR) method

an accelerated method was proposed. Based on the PMOR method by matrix interpolation

the combined approximation reanalysis technology was applied to accelerate the repeated model order reduction (MOR) procedure. The factorization matrices of the initial stiffness matrix were utilized to generate the basis vectors to reduce the system matrices

calculated the final modal shape vectors via reduced matrices and repeated the calculation procedure for the sampling points in parameter space to build the offline database. Then the moving coil of the electrical-dynamic shaker was used as an example. The regular and improved methods were also used to perform the simulation for the uniformly distributed sample points. The results show that the proposed method can significantly reduce the MOR times more than 80% and improve the efficiency of building offline parametric database with guaranty of the reduced models’ accuracy.