Authors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: PoliMI SpringerBriefs (BRIEFSPOLIMI)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Road, Housing and Urban Development Research Center, Tehran, Iran
Saeed Eftekhar Azam
Bibliographic Information
Book Title: Online Damage Detection in Structural Systems
Book Subtitle: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters
Authors: Saeed Eftekhar Azam
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-02559-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2014
Softcover ISBN: 978-3-319-02558-2Published: 30 January 2014
eBook ISBN: 978-3-319-02559-9Published: 21 January 2014
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XII, 135
Number of Illustrations: 87 b/w illustrations
Topics: Vibration, Dynamical Systems, Control, Signal, Image and Speech Processing, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Building Repair and Maintenance