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Journal ArticleDOI

Simplified calculation of eigenvector derivatives

Richard B. Nelson
- 01 Sep 1976 - 
- Vol. 14, Iss: 9, pp 1201-1205
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TLDR
A simplified procedure is presented for the determination of the derivatives of eigenvectors of nth order algebraic eigensystems, applicable to symmetric or nonsymmetric systems, and requires knowledge of only one eigenvalue and its associated right and left eigenavectors.
Abstract
A simplified procedure is presented for the determination of the derivatives of eigenvectors of nth order algebraic eigensystems. The method is applicable to symmetric or nonsymmetric systems, and requires knowledge of only one eigenvalue and its associated right and left eigenvectors. In the procedure, the matrix of the original eigensystem of rank (/?-!) is modified to convert it to a matrix of rank /?, which then is solved directly for a vector which, together with the eigenvector, gives the eigenvector derivative to within an arbitrary constant. The norm of the eigenvector is used to determine this constant and complete the calculation. The method is simple, since the modified n rank matrix is formed without matrix multiplication or extensive manipulation. Since the matrix has the same bandedness as the original eigensystems, it can be treated efficiently using the same banded equation solution algorithms that are used to find the eigenvectors.

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Citations
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Journal ArticleDOI

Eigenvector derivatives for mechanical second-order systems

TL;DR: In this article, an exact and approximate method for computing a truncated set of eigenvector derivatives for large structural systems is presented. But the exact method is not suitable for the case of large systems.
Journal ArticleDOI

Sensitivity based method for structural dynamic model improvement

TL;DR: In this article, methods for calculating the eigensensitivity, frequency response function sensitivity and its modified new formulation are presented, and the implementation of these sensitivity analyses to the practice of finite element model improvement using vibration test data, which is one of the major applications of experimental modal testing is discussed.

Survey of methods for calculating sensitivity of general eigenproblems

TL;DR: A survey of methods for sensitivity analysis of the algebraic eigenvalue problem for non-Hermitian matrices is presented and a modification of one method based on a better normalizing condition is proposed.
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Three-Dimensional Shape Optimization with Substructuring

TL;DR: In this paper, the substructure formulation is used for shape optimization, where only the stiffness matrix for the modified part is reformulated, reduced to the exterior degrees-of-freedom for the changed design, and can provide significant savings in computing resources.
Journal ArticleDOI

Global damage identification of the 'Steelquake' structure using modal data

TL;DR: In this article, a two-storey building was subjected to an artificial seismic loading causing cracks at three locations, and four different model-based approaches were discussed and applied to the benchmark structure.
References
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Book

The algebraic eigenvalue problem

TL;DR: Theoretical background Perturbation theory Error analysis Solution of linear algebraic equations Hermitian matrices Reduction of a general matrix to condensed form Eigenvalues of matrices of condensed forms The LR and QR algorithms Iterative methods Bibliography.
Journal ArticleDOI

Rates of change of eigenvalues and eigenvectors.

TL;DR: Exact expressions for rates of change of eigenvalues and eigenvector to facilitate computerized design of complex structures are presented.
Journal ArticleDOI

Statistical Identification of Structures

TL;DR: In this paper, a method is formulated for systematically using experimental measurements of the natural frequencies and mode shapes of a structure to modify stiffness and mass characteristics of a finite element model, and an additional feature is that the engineer's confidence in the modeling of the various finite elements is quantified and incorporated into the revision procedure.
Journal ArticleDOI

Handbook for Automatic Computation. Vol II, Linear Algebra

TL;DR: Haida gwaii tourism guide, Handbook of raman spectroscopy, and the Jordan form, Kronecker's form for matrix pencils, and various condition in the Handbook.