Téléchargez le livre : Online Damage Detection in Structural Systems

Online Damage Detection in Structural Systems

Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters
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Paru le : 2014-01-21

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 mono...
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Description du livre

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.

À propos

Auteur
Saeed Eftekhar Azam
Éditeur
Springer
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2014-01-21
Pages
135 pages
EAN papier
9783319025582

Auteur(s) du livre


Defaut-Illustration Saeed Eftekhar Azam

Caractéristiques détaillées - droits

EAN EPUB
9783319025599
Prix
52,74 €
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
3471 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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