Identification Methods for Structural Health Monitoring (Record no. 80143)

000 -LEADER
fixed length control field 03565nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-319-32077-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221852.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160525s2016 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319320779
-- 978-3-319-32077-9
082 04 - CLASSIFICATION NUMBER
Call Number 690.24
245 10 - TITLE STATEMENT
Title Identification Methods for Structural Health Monitoring
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 170 p. 53 illus., 39 illus. in color.
490 1# - SERIES STATEMENT
Series statement CISM International Centre for Mechanical Sciences, Courses and Lectures,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Parametric and non parametric identification methods: an overview -- Parametric methods for the treatment of nonlinear dynamics -- Bayesian parameter estimation -- Bayesian operational modal analysis -- Bayesian uncertainty quantification and propagation (UQ+P): state-of-the-art tools for linear and nonlinear structural dynamics models -- Efficient data fusion and practical considerations for structural identification -- Implementation of identification methodologies on large scale structures.
520 ## - SUMMARY, ETC.
Summary, etc The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated.
700 1# - AUTHOR 2
Author 2 Chatzi, Eleni.
700 1# - AUTHOR 2
Author 2 Papadimitriou, Costas.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-32077-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- text
-- txt
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Buildings—Repair and reconstruction.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Buildings—Maintenance.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Building Repair and Maintenance.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2309-3706 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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