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Identification Methods for Structural Health Monitoring

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The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated.

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Detail Information

Series Title

-

Call Number

690 IDE

Publisher

: ., 2015

Collation

X, 170

Language

English

ISBN/ISSN

978-3-319-32075-5

Classification

690

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Building Repair and Maintenance

Specific Detail Info

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Statement of Responsibility

Eleni Chatzi, Costas Papadimitriou editor

Other Information

Cataloger

Khusnun

Source

-

Validator

-

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