© 2014

Online Damage Detection in Structural Systems

Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters


  • 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


Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the PoliMI SpringerBriefs book sub series (BRIEFSPOLIMI)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Saeed Eftekhar Azam
    Pages 1-5
  3. Saeed Eftekhar Azam
    Pages 123-127
  4. Back Matter
    Pages 129-135

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.


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

Authors and affiliations

  1. 1.Road, Housing and Urban Development Research CenterTehranIran

Bibliographic information

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