Identificacion Principal del registro INGC-EBK-000293

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160907104419

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140121s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783319025599

a Standard number or code 10.1007/978-3-319-02559-9

a Personal name Eftekhar Azam, Saeed.

a Title Online Damage Detection in Structural Systems

h Medium [libro electrónico] : ;

b Remainder of title Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters /

c Statement of responsibility, etc by Saeed Eftekhar Azam.

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xii, 135 p. :

b Other physical details il.

a Series statement SpringerBriefs in Applied Sciences and Technology,

x International Standard Serial Number 2191-530X

a Formatted contents note 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.

a Summary, etc 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.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Statistics.

a Topical term or geographic name as entry element Vibration.

a Topical term or geographic name as entry element Dynamical systems.

a Topical term or geographic name as entry element Building repair.

a Topical term or geographic name as entry element Control.

a Topical term or geographic name as entry element Signal, Image and Speech Processing.

a Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

a Topical term or geographic name as entry element Building Repair and Maintenance.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-02559-9

c item type EBK

a descripción COM