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This work presents an iterative mesh partitioning approach to improve the efficiency ofparallel substructure finite element computations. The proposed approach employs an iterative strategywith a set of empirical rules derived from the results of numerical experiments on a number of diferentfinite element meshes. The proposed approach also utilizes state-of-the-art partitioning techniques in itsiterative partitioning kernel, a cost function to estimate the computational cost of each submesh, and amechanism that adjusts element weights to redistribute elements among submeshes during iterativepartitioning to partition a mesh into submeshes (or substructures) with balanced computational workloads.In addition, actual parallel finite element structural analyses on several test examples are presented todemonstrate the effectiveness of the approach proposed herein. The results show that the proposedapproach can effectively improve the efficiency of parallel substructure finite element computations.