PoliMI SpringerBriefs

Online Damage Detection in Structural Systems

Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters

Authors: Eftekhar Azam, Saeed

  • Focuses on the development of fast and robust algorithms for online damage detection in structural systems
  • Compares the performances of Kalman, particle and hybrid filters using numerical examples
  • Assesses a method based on proper orthogonal decomposition in terms of speed-up and accuracy of estimations
  • Will aid structural and civil engineers wishing to conduct research in structural health monitoring
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eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-02559-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-02558-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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  • Rental duration: 1 or 6 month
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About this book

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference for structural and civil engineers who wish to conduct research in this field. To this end, the main notions underlying the families of Kalman and particle filters are scrutinized through explanations within the text and numerous numerical examples. The main limitations to their application in monitoring of high-rise buildings are discussed and a remedy based on a synergy of reduced order modeling (based on proper orthogonal decomposition) and Bayesian estimation is proposed. The performance and effectiveness of the proposed algorithm is demonstrated via pseudo-experimental evaluations.

Table of contents (6 chapters)

  • Introduction

    Eftekhar Azam, Saeed

    Pages 1-5

  • Recursive Bayesian Estimation of Partially Observed Dynamic Systems

    Eftekhar Azam, Saeed

    Pages 7-55

  • Model Order Reduction of Dynamic Systems via Proper Orthogonal Decomposition

    Eftekhar Azam, Saeed

    Pages 57-86

  • POD-Kalman Observer for Linear Time Invariant Dynamic Systems

    Eftekhar Azam, Saeed

    Pages 87-103

  • Dual Estimation and Reduced Order Modeling of Damaging Structures

    Eftekhar Azam, Saeed

    Pages 105-121

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-3-319-02559-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-3-319-02558-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Online Damage Detection in Structural Systems
Book Subtitle
Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters
Authors
Series Title
PoliMI SpringerBriefs
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-02559-9
DOI
10.1007/978-3-319-02559-9
Softcover ISBN
978-3-319-02558-2
Series ISSN
2282-2577
Edition Number
1
Number of Pages
XII, 135
Number of Illustrations and Tables
87 b/w illustrations
Topics