Identification Methods for Structural Health Monitoring

1. Front Matter

   Pages i-ix

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2. Implementation of Identification Methodologies on Large-Scale Structures

   • Vincenzo Gattulli

   Pages 1-34

3. Efficient Data Fusion and Practical Considerations for Structural Identification

   • Andrew W. Smyth, Thaleia Kontoroupi, Patrick T. Brewick

   Pages 35-49

4. Implementation of Parametric Methods for the Treatment of Uncertainties in Online Identification

   • Eleni N. Chatzi, Minas D. Spiridonakos, Andrew W. Smyth

   Pages 51-87

5. Bayesian Parameter Estimation

   • E. Simoen, G. Lombaert

   Pages 89-115

6. Bayesian Operational Modal Analysis

   • S. K. Au

   Pages 117-135

7. Bayesian Uncertainty Quantification and Propagation (UQ+P): State-of-the-Art Tools for Linear and Nonlinear Structural Dynamics Models

   • Costas Papadimitriou

   Pages 137-170

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.

• Bayesian Computational Techniques
• Nonlinear Structural Dynamics Models
• Parametric Identification Methods
• Structural Health Monitoring
• System Identification Techniques

• Dept. of Civil, Envi. & GoematicEng., ETH Zürich, Zürich, Switzerland

  Eleni Chatzi

• University of Thessaly, Volos, Greece

  Costas Papadimitriou

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