Identification Methods for Structural Health Monitoring (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	CISM International Centre for Mechanical Sciences, 567
Release date:	May 2018
First published:	2016
Editors:	Eleni Chatzi • Costas Papadimitriou
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	170
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-81190-1
Categories:	Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > General
LSN:	3-319-81190-8
Barcode:	9783319811901

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