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Identification Methods for Structural Health Monitoring

Edited by Eleni Chatzi, Edited by Costas Papadimitriou

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normal price: R 4,375.95

Price: R 4,157.95


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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.

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Normally shipped | Available from overseas. Delivery time is 14 - 21 days
Publisher | Springer International Publishing AG
Published date | 3 Jun 2016
Language |
Format | Hardback
Pages | 170
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3193-2075-5
Readership Age |
BISAC | technology / engineering / civil


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 4,640.95
Price | R 4,408.95 | on special |



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