ENGLISH

Online Damage Detection in Structural Systems: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters

By Saeed Eftekhar Azam (auth.)

Book information

Publisher
Springer International Publishing
Year
2014
ISBN
978-3-319-02558-2, 978-3-319-02559-9
DOI
10.1007/978-3-319-02559-9
Language
english
Format
PDF
Filesize
8 MB (7989997 bytes)
Series
SpringerBriefs in Applied Sciences and Technology : PoliMI SpringerBriefs
Edition
1
Pages
135\141
Time added
2014-02-12 18:00:00
Chemistry and Earth Sciences; Building Repair andComputer ScienceControl; SignalDynamical SystemsImage and Speech Processing; Statistics for EnginePhysicsVibration

Description

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.

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