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Identification Methods for Structural Health Monitoring: 567 (CISM International Centre for Mechanical Sciences) - Tapa blanda

Libro 363 de 415: CISM International Centre for Mechanical Sciences
 
9783319811901: Identification Methods for Structural Health Monitoring: 567 (CISM International Centre for Mechanical Sciences)
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ISBN 10: 3319811908 ISBN 13: 9783319811901
Editorial: Springer, 2018

Sinopsis

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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De la contraportada

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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Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3319811908
ISBN 13 
9783319811901
Encuadernación
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Número de páginas
180
Editor
Chatzi Eleni, Papadimitriou Costas
Contacto del fabricante
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Otras ediciones populares con el mismo título

9783319320755: Identification Methods for Structural Health Monitoring: 567 (CISM International Centre for Mechanical Sciences, 567)

Edición Destacada

ISBN 10:  3319320750 ISBN 13:  9783319320755
Editorial: Springer, 2016
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