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Abstract

The sensitivity of structural dynamic characteristics related to eigenmode (such as modal assurance criteria, modal flexibility, and modal mass etc.) has become a crucial and widely applied tool across various engineering fields. In this paper, a novel strategy is proposed for solving the sensitivity of structural dynamic characteristics related to eigenmode with respect to multiple variables. First, an algebraic method for computing the sensitivity of eigenvectors is developed to simplify the expression for sensitivity calculations. Subsequently, based on this new expression for eigenmode sensitivity, a framework for sensitivity analysis of structural dynamic characteristics related to eigenmodes with multiple parameters is established. With the incorporation of a preconditioning iterative method, the new computational framework effectively enhances the computational efficiency of sensitivity analysis for structural characteristics related to eigenmodes with multiple parameters. This framework is easy to operate and effectively reduces the "Fill-in" operations of sparse matrices. Three numerical examples are given to illustrate the effectiveness of the algorithm. The result shows that the novel strategy can significantly reduce central processing unit (CPU) computational time.