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Journal ArticleDOI

Structural identification using linear models and earthquake records

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TLDR
In this paper, the problem of determining linear models of structures from seismic response data is investigated using ideas from the theory of system identification, where the approach is to determine the optimal estimates of the model parameters by minimizing a selected measure-of-fit between the responses of the structure and the model.
Abstract
The problem of determining linear models of structures from seismic response data is investigated using ideas from the theory of system identification. The approach is to determine the optimal estimates of the model parameters by minimizing a selected measure-of-fit between the responses of the structure and the model. Because earthquake records are normally available from only a small number of locations in a structure, and because of noise in the records, it is necessary in practice to estimate parameters of the dominant modes in the records, rather than the stiffness and damping matrices of the linear model. A new algorithm is developed to determine the optimal estimates of the modal parameters. After tests with simulated data, the method is applied to a multi-storey building using records from the 1971 San Fernando earthquake in California. New information is obtained concerning the properties of the lower modes of the building and the time-varying character of the equivalent linear parameters.

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Citations
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Journal ArticleDOI

Structural-System Identification. I: Theory

TL;DR: In this article, a number of structural-identification algorithms are reviewed and applied to the identification of structural systems subjected to earthquake excitations, and the performance of the various identification algorithms is critically assessed, and guidelines are obtained regarding their suitability to various engineeri...
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Neural Network Approach to Detection of Changes in Structural Parameters

TL;DR: In this article, a neural network-based approach is presented for the detection of changes in the characteristics of structure-unknown systems, which relies on the use of vibration measurements from a "healthy" system to train a CNN for identification purposes.
Journal ArticleDOI

Identification of linear structural systems using earthquake‐induced vibration data

TL;DR: In this article, the authors address the issue of system identification for linear structural systems using earthquake induced time histories of the structural response and propose a methodology based on the Eigensystem Realization Algorithm (ERA) and on the Observer/Kalman filter IDentification (OKID) approach to perform identification of structural system using general input-output data via Markov parameters.
Journal ArticleDOI

Long-Term Monitoring and Identification of Bridge Structural Parameters

TL;DR: In this paper, a new concrete bridge was mon- itored and change in the bridge structural stiffness was identified accordingly over a 5-year period, based on which the information obtained in this study is valuable for studying aging and long-term performance assessment of similar bridges.
Journal ArticleDOI

On-line identification of non-linear hysteretic structural systems using a variable trace approach

TL;DR: In this article, an adaptive on-line parametric identification algorithm based on the variable trace approach is presented for the identification of non-linear hysteretic structures, where at each time step, this recursive least-square-based algorithm upgrades the diagonal elements of the adaptation gain matrix by comparing the values of estimated parameters between two consecutive time steps.
References
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Journal ArticleDOI

System identification-A survey

TL;DR: The survey explains the least squares method and several of its variants which may solve the problem of correlated residuals, viz. repeated and generalized least squares, maximum likelihood method, instrumental variable method, tally principle.
Journal ArticleDOI

Interpretation of Inaccurate, Insufficient and Inconsistent Data

TL;DR: In this paper, the problem is formulated as an ill-posed matrix equation, and general criteria are established for constructing an inverse matrix, defined in terms of a set of generalized eigenvectors of the matrix, and may be chosen to optimize the resolution provided by the data.
Journal ArticleDOI

System Identification in Structural Dynamics

TL;DR: The correlation between analytical structural model and experimental test results has become the subject of considerable recent research efforts as mentioned in this paper, which is known as System Identification, and has been applied the tools of mathematical programming, statistics, and structural mechanics to seek solutions to this problem.
DissertationDOI

Determining models of structures from earthquake records

James L. Beck
TL;DR: In this article, the problem of determining linear models of structures from seismic response data is studied using ideas from the theory of system identification, in which optimal estimates of the model parameters are obtained by minimizing a selected measure-of-fit between the responses of the structure and the model.
Journal ArticleDOI

System identification- an introduction and a survey:

TL;DR: A survey of several techniques for the identification of dynamic systems using computer techniques, including spectral analysis, search and gradient methods, quasi-linearization, and stochas tic approximation, particularly suited to digital or hybrid computer implementation.
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