Identification Methods for Structural Health Monitoring is popular PDF and ePub book, written by Eleni Chatzi in 2016-05-25, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Identification Methods for Structural Health Monitoring can be Read Online from any device for your convenience.
Identification Methods for Structural Health Monitoring Book PDF Summary
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.
Detail Book of Identification Methods for Structural Health Monitoring PDF
- Author : Eleni Chatzi
- Release : 25 May 2016
- Publisher : Springer
- ISBN : 9783319320779
- Genre : Technology & Engineering
- Total Page : 170 pages
- Language : English
- PDF File Size : 9,6 Mb
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