Structural Dynamics Model Updating with Positive Definiteness and No Spillover
Author(s) -
Yongxin Yuan
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/896261
Subject(s) - positive definiteness , eigenvalues and eigenvectors , modal , transformation (genetics) , matrix (chemical analysis) , stiffness , mathematics , spillover effect , computer science , positive definite matrix , algorithm , mass matrix , extension (predicate logic) , mathematical optimization , engineering , structural engineering , physics , materials science , chemistry , composite material , microeconomics , biochemistry , quantum mechanics , polymer chemistry , economics , gene , nuclear physics , programming language , neutrino
Model updating is a common method to improve the correlation between structural dynamics models and measured data. In conducting the updating, it is desirable to match only the measured spectral data without tampering with the other unmeasured and unknown eigeninformation in the original model (if so, the model is said to be updated with no spillover) and to maintain the positive definiteness of the coefficient matrices. In this paper, an efficient numerical method for updating mass and stiffness matrices simultaneously is presented. The method first updates the modal frequencies. Then, a method is presented to construct a transformation matrix and this matrix is used to correct the analytical eigenvectors so that the updated model is compatible with the measurement of the eigenvectors. The method can preserve both no spillover and the symmetric positive definiteness of the mass and stiffness matrices. The method is computationally efficient as neither iteration nor numerical optimization is required. The numerical example shows that the presented method is quite accurate and efficient
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