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Structural Parameter Identification Techniques

  • Conference paper
Analysis and Estimation of Stochastic Mechanical Systems

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 303))

Abstract

In these lectures we review certain results on the problem of parameter, estimation and system identification as applied to structural engineering. The importance of this problem in structural engineering has steadily increased in recent years, primarily motivated by the desire to have a more accurate description of the structure and its dynamical characteristics for purposes of predicting its response to environmental excitations such as earthquakes and wind generated pressure loadings, being able to assess aging or damage through changes in the salient structural parameters, and finally for purposes of applying controllers to structures that can reduce unwanted responses to the environmental excitations.

Naturally, since the field is quite broad in its scope, it will be quite impossible to cover all aspects, or all significant results. Instead, we present a summary of some significant results that have applications to the structural field.

Rather than merely present a brief discussion of results, we state in some detail what can be said concerning convergence and accuracy of the techniques available, along with examples to illustrate the ideas presented. We discuss time domain techniques, and concentrate on continuous time models.

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Author information

Authors and Affiliations

  1. Polytechnic University, Farmingdale, New York, USA

    F. Kozin

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  1. F. Kozin
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Editor information

Editors and Affiliations

  1. University of Stuttgart, Stuttgart, Germany

    Werner Schiehlen

  2. University of Karlsruhe, Karlsruhe, Germany

    Walter Wedig

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© 1988 Springer-Verlag Wien

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Kozin, F. (1988). Structural Parameter Identification Techniques. In: Schiehlen, W., Wedig, W. (eds) Analysis and Estimation of Stochastic Mechanical Systems. International Centre for Mechanical Sciences, vol 303. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2820-6_4

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  • DOI: https://doi.org/10.1007/978-3-7091-2820-6_4

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82058-2

  • Online ISBN: 978-3-7091-2820-6

  • eBook Packages: Springer Book Archive

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