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Title
Identification methods for structural health monitoring [electronic resource] / Eleni Chatzi, Costas Papadimitriou, editors.
ISBN
9783319320779 (electronic book)
3319320777 (electronic book)
9783319320755
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (ix, 170 pages) : illustrations.
Call Number
TA656.6
Dewey Decimal Classification
624.1/7
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 7, 2016).
Series
Courses and lectures ; v. 567.
Introduction
Parametric and non parametric identification methods: an overview
Parametric methods for the treatment of nonlinear dynamics
Bayesian parameter estimation
Bayesian operational modal analysis
Bayesian uncertainty quantification and propagation (UQ+P): state-of-the-art tools for linear and nonlinear structural dynamics models
Efficient data fusion and practical considerations for structural identification
Implementation of identification methodologies on large scale structures.
