Identification Methods For Structural Health Monitoring (cism International Centre For Mechanical Sciences)
by Costas Papadimitriou /
2016 / English / PDF
7.2 MB Download
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.
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.