Electronic Resource

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

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000656	EB0003238	620 Aza o	Central Library (OPAC)	Available

Detail Information

Series Title

SpringerBriefs in Applied Sciences and Technology

Call Number

620 Aza o

Publisher

Switzerland : ., 2014

Collation

xii, 135p.: Ill.

Language

English

ISBN/ISSN

978-3-319-02559-9

Classification

620

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Engineering
Vibration

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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