Dynamic Identification & Structural Health Monitoring

COURSE CONTENT

1. Introduction to the Dynamic Identification and Structural Healthy Monitoring based on measurements of vibration signals.
2. General principles & specifications of Dynamic Identification and Structural Health Monitoring problems.
3. Non-parametric and parametric deterministic and stochastic models for the representation of the structural dynamics in time and frequency domain.
4. Methods for the identification of deterministic models.
5. Methods for the identification of stochastic models.
6. Non-parametric methods for Structural Health Monitoring based on measurements of vibration signals.
7. Parametric methods for Structural Health Monitoring based on measurements of vibration signals.
8. Structural Healthy Monitoring under varying operating conditions.
9. Advanced topics.
10. Experimental applications.

LEARNING OUTCOMES

The course is an established introduction in the advanced and modern topics of Dynamic Identification (DI) and Structural Health Monitoring (SHM) using measurements of vibration signals. With the successful completion of the course, the student will be in position to:

• Understand the problems with their specifications as well as the principles of the Dynamic Identification and Structural Health Monitoring based on measurements of vibration signals.
• Propose proper non-parametric and parametric deterministic and stochastic models for the dynamics representation of the investigated structure.
• Develop proper non-parametric and parametric deterministic and stochastic models using various estimation methods and measurements of vibration signals.
• Analyze the effectiveness and the accuracy of the estimated models.
• Comprehend the basic principles of non-parametric and parametric methods for Structural Health Monitoring which are based on vibration signals.
• Opt the most proper modern Structural Health Monitoring methods for tackling various types of relative problems.
• Analyze the effectiveness of Structural Health Monitoring methods using proper indices and diagrams.
• Evaluate the presence of potential varying operating conditions and propose methods for their proper tackling.
• Design and apply the above in practice using proper equipment and software (such as MATLAB/SIMULINK and R programming language).