Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Eftekhar Azam, Saeed (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:PoliMI SpringerBriefs,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-02559-9
003 DE-He213
005 20220112223519.0
007 cr nn 008mamaa
008 140121s2014 sz | s |||| 0|eng d
020 |a 9783319025599  |9 978-3-319-02559-9 
024 7 |a 10.1007/978-3-319-02559-9  |2 doi 
050 4 |a TA352-356 
072 7 |a TGMD4  |2 bicssc 
072 7 |a TEC009070  |2 bisacsh 
072 7 |a TGMD  |2 thema 
082 0 4 |a 620.3  |2 23 
100 1 |a Eftekhar Azam, Saeed.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Online Damage Detection in Structural Systems  |h [electronic resource] :  |b Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters /  |c by Saeed Eftekhar Azam. 
250 |a 1st ed. 2014. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2014. 
300 |a XII, 135 p. 87 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a PoliMI SpringerBriefs,  |x 2282-2585 
505 0 |a Introduction -- Recursive Bayesian estimation of partially observed dynamic systems -- Model Order Reduction of dynamic systems via Proper Orthogonal Decomposition -- POD-Kalman observer for linear time invariant dynamic systems -- Dual estimation and reduced order modeling of damaging structures -- Summary of the recursive Bayesian inference schemes. 
520 |a 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. 
650 0 |a Multibody systems. 
650 0 |a Vibration. 
650 0 |a Mechanics, Applied. 
650 0 |a Signal processing. 
650 0 |a Statistics . 
650 0 |a Buildings-Repair and reconstruction. 
650 0 |a Buildings-Maintenance. 
650 1 4 |a Multibody Systems and Mechanical Vibrations. 
650 2 4 |a Signal, Speech and Image Processing . 
650 2 4 |a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Building Repair and Maintenance. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319025582 
776 0 8 |i Printed edition:  |z 9783319025605 
830 0 |a PoliMI SpringerBriefs,  |x 2282-2585 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-02559-9  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)