Logo - springer
Slogan - springer

Materials - Mechanics | Online Damage Detection in Structural Systems - Applications of Proper Orthogonal Decomposition,

Online Damage Detection in Structural Systems

Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters

Eftekhar Azam, Saeed

2014, XII, 135 p. 87 illus.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$39.99

(net) price for USA

ISBN 978-3-319-02559-9

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$54.99

(net) price for USA

ISBN 978-3-319-02558-2

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • About this book

  • 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
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.

Content Level » Research

Keywords » Kalman Filter - Particle Filter - Proper Orthogonal Decomposition - Stochastic Inverse Analysis - Structural Health Monitoring

Related subjects » Civil Engineering - Mechanics - Physical & Information Science - Signals & Communication

Table of contents / Preface / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Vibration, Dynamical Systems, Control.