An improved approximate method for computing eigenvector derivatives
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Abstract An improved approximate method for computing eigenvector derivatives has been developed. In this formulation an eigenvector derivative is assumed to be spanned by a set of truncated normal modes augmented by a residual static mode. The coefficients in the expansion are computed by a Bubnov-Galerkin method. The formulation has been implemented as a set of Direct Matrix Abstraction Programming alters for MSC/Nastran . Numerical examples show the method provides sufficient accuracy and reduced computation time when compared to the exact solution.
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