Identification Methods for Structural Health Monitoring

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 m...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chatzi, Eleni (Editor), Papadimitriou, Costas (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:CISM International Centre for Mechanical Sciences, Courses and Lectures, 567
Subjects:
Buildings > Repair and reconstruction.
Buildings > Maintenance.
Building Repair and Maintenance.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Parametric and non parametric identification methods: an overview
  • Parametric methods for the treatment of nonlinear dynamics
  • Bayesian parameter estimation
  • Bayesian operational modal analysis
  • Bayesian uncertainty quantification and propagation (UQ+P): state-of-the-art tools for linear and nonlinear structural dynamics models
  • Efficient data fusion and practical considerations for structural identification
  • Implementation of identification methodologies on large scale structures.

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