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Abstract
This paper proposes a method for the identification of structural matrices using a concept of self-identification with variable geometric parameters. The method is theoretically formulated by using the change of eigenvalues and eigenvectors according to change of the variable geometric vector. A modal expansion technique is introduced to obtain the eigenvectors under the lack of sensors. Numerical examples show that the stiffness matrix of a two-dimensional variable geometry truss is exactly identified with enough number of the linearly independent eigenvectors changed by one variable length member of the truss.
Journal
- 年次大会講演論文集 : JSME annual meeting [List of Volumes]
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年次大会講演論文集 : JSME annual meeting 2005(6), 179-180, 2005-09-18 [Table of Contents]
The Japan Society of Mechanical Engineers