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Journal ArticleDOI

Improved Inverse Eigensensitivity Method for Structural Analytical Model Updating

TLDR
In this paper, an improved inverse eigensensitivity method, which avoids the existing problems of classical inverse eigen sensitivity method, has been developed, which employs both analytical and experimental modal data to calculate the required eigenensitivity coefficients which are very close to their true values.
Abstract
In order to update analytical models of practical engineering structures, inverse eigensensitivity method (IEM) has been developed. Though it has nowadays been widely accepted, the classical inverse eigensensitivity method does have some drawbacks such as the assumption of small error magnitudes and slow speed of convergence due to the fact that the sensitivity coefficients are calculated purely based on modal data of analytical model. In the present paper, an improved inverse eigensensitivity method, which avoids the existing problems of classical inverse eigensensitivity method, has been developed. The improved method employs both analytical and experimental modal data to calculate the required eigensensitivity coefficients which are very close to their true values. The method has been further extended to the case where measured coordinates are incomplete. Practical applicability of the method has been assessed by its application to the updating of the finite element model of a plane truss structure

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Citations
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Journal ArticleDOI

Dynamic Assessment of Curved Cable-Stayed Bridge by Model Updating

TL;DR: Tan et al. as discussed by the authors investigated the application of sensitivity-based model updating technology to the dynamic assessment of the Safti Link Bridge, a curved cable-stayed bridge in Singapore.
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Structural Dynamic Model Updating Techniques: A State of the Art Review

TL;DR: In this article, the authors present a review of structural dynamic model updating techniques, starting with a tutorial introduction of basic concepts of model updating, the paper reviews direct and iterative techniques of update along with their applications to real life systems.
Journal ArticleDOI

Comparative study of model updating methods using simulated experimental data

TL;DR: A detailed comparison of the inverse eigensensitivity method and the response function method of analytical model updating on the basis of computer simulated experimental data is given for studying the convergence of the two methods and the accuracy with which they predict the corrections required in a finite element model.
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Finite element model updating for a high-rise structure based on ambient vibration measurements

TL;DR: This paper presents an eigensensitivity-based finite element (FE) model updating procedure for FE model updating of an existing 310 m tall Nanjing TV Tower based on ambient vibration measurements and finds that the FE model update procedure based on the weighted least squares method with groups of updating parameters is the most effective approach.
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Model updating of damped structures using FRF data

TL;DR: In this article, the frequency response function (FRF) was further developed to identify damping matrices of structural systems, as well as mass and stiffness matrices, in order to overcome the problem of complexity of measured FRF and modal data.
References
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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.
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Simplified calculation of eigenvector derivatives

TL;DR: 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.
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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.
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Analytical Model Improvement Using Modal Test Results

TL;DR: In this article, a matrix perturbation method is proposed to calculate the Jacobian matrix and to compute the new eigendata for the parameter estimation procedure, which allows the use of other measurements such as modal forces, kinetic energy distribution, and strain energy distributions in the estimation procedure.
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Eigenvector derivatives with repeated eigenvalues

TL;DR: The algorithm preserves the symmetry and band structure of the matrices, allowing efficient computer storage and solution techniques, and applications include sensitivity analysis and optimization of the normal modes of finite-element modeled structures, such as large space structures.