Identification Methods for Structural Health Monitoring PDF
Edited by Eleni Chatzi, Costas Papadimitriou
Part of the CISM International Centre for Mechanical Sciences series
Description
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.
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer International Publishing
- Publication Date:25/05/2016
- Category:
- ISBN:9783319320779
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer International Publishing
- Publication Date:25/05/2016
- Category:
- ISBN:9783319320779
