Macromodeling techniques for accelerated finite element analysis

This paper deals with the Model Order Reduction applied locally in the Finite Element Method (FEM) analysis. Due to the reduction process, blocks of FEM system matrices associated with selected subregions of the computational domain are projected onto the subspaces spanned by the vectors of suited orthogonal projection basis. In effect, large and sparse FEM matrices are replaced with small and dense ones, called macromodels. This approach (called macromodeling) significantly speeds up FEM analysis and reduces RAM memory requirements. In this paper we study the efficiency and accuracy of the two techniques of constructing the local orthogonal projection basis used in the macromodeling approach.