Identification Methods for Structural Health Monitoring

Identification Methods for Structural Health Monitoring
Author :
Publisher : Springer
Total Pages : 175
Release :
ISBN-10 : 9783319320779
ISBN-13 : 3319320777
Rating : 4/5 (777 Downloads)

Book Synopsis Identification Methods for Structural Health Monitoring by : Eleni Chatzi

Download or read book Identification Methods for Structural Health Monitoring written by Eleni Chatzi and published by Springer. This book was released on 2016-05-25 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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