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Identification methods for structural health monitoring / edited by Eleni Chatzi and Costas Papadimitriou.

Contributor(s): Chatzi, Eleni N [editor] | Papadimitriou, Costas [editor].
Material type: materialTypeLabelBookSeries: Courses and lectures: volume 567Publisher: Switzerland : Springer, [2016]Copyright date: ©2016Description: ix, 170 pages : illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9783319811901 (paperback).Subject(s): Engineering | Structural health monitoring | I WISH Foundation Women's STEM ProjectDDC classification: 624.17
Contents:
Implementation of identification methodologies on large-scale structures / Vincenzo Gattulli -- Efficient data fusion and practical considerations for structural identification / Andrew W. Smyth, Thaleia Kontoroupi and Patrick T. Brewick -- Implementation of parametric methods for the treatment of uncertainties in online identification / Eleni N. Chatzi, Minas D. Spiridonakos and Andrew W. Smyth -- Bayesian parameter estimation / E. Simeon and G. Lombaert -- Bayesian operational modal analysis / S.K. Au -- Bayesian uncertainty quantification and propagation (UQ+P): state-of-the-art tools for linear and nonlinear structural dynamics models / Costas Papadimitriou.
List(s) this item appears in: I WISH Foundation Women's STEM Project Collection
Holdings
Item type Current library Call number Status Barcode
General lending MTU Bishopstown Library Lending 624.17 (Browse shelf(Opens below)) Available 00218134
Total holds: 0

Enhanced descriptions from Syndetics:

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.

Includes bibliographical references.

Implementation of identification methodologies on large-scale structures / Vincenzo Gattulli -- Efficient data fusion and practical considerations for structural identification / Andrew W. Smyth, Thaleia Kontoroupi and Patrick T. Brewick -- Implementation of parametric methods for the treatment of uncertainties in online identification / Eleni N. Chatzi, Minas D. Spiridonakos and Andrew W. Smyth -- Bayesian parameter estimation / E. Simeon and G. Lombaert -- Bayesian operational modal analysis / S.K. Au -- Bayesian uncertainty quantification and propagation (UQ+P): state-of-the-art tools for linear and nonlinear structural dynamics models / Costas Papadimitriou.