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Saturday, 04. February 2012
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Advanced Course On
Structural Health Monitoring
November 25th - 26th, Radisson Blu Hotel, Hamburg Airport
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Main Topics Covered By Each Instructor
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- University of Siegen (Prof. Claus-Peter Fritzen)
- Concepts of Structural Health Management: Local and Global Methods
- Basics of Experimental Modal Analysis. Data Processing and Signal Analysis
- Vibration methods. Computational Models
- Model-Updating Methods, Optimisation and Damage Identification
- Examples for Damage Diagnosis in civil engineering, aerospace and wind energy plants
- University Politécnica de Madrid (UPM) (Prof. Alfredo Güemes)
- Classification of fiber optic sensors
- The Fiber Bragg grating as a strain and temperature sensor
- Fiber Bragg grating as damage sensor for composites Embedding fiber optic sensors in composite structures
- Examples of application of fiber optic sensors in aeronautics and civil engineering
- Polish Academy of Sciences (IFFM) (Prof. Wieslaw Ostachowicz)
- Algorithms for damage localization and characterization Methods based on the phenomenon of elastic wave propagation. Lamb waves
- FFT-based Spectral Element Method. FEM versus Spectral Element Method
- Wave propagation in composite plates. Interaction with damage. Experimental validation
- Optimal sensor network. Estimation of optimal array of sensors placement
- University of Patras (Prof. Spilios Fassois)
- Statistical Time Series Models for Structural Dynamics Identification of Time Series Models
- Statistical Hypothesis Testing for Decision Making Under Uncertainty
- Parametric and Non-Parametric Statistical Time Series Methods for SHM
- SHM Applications and Outlook
- Instituto Superior Tecnico (IST) (Prof. Afzal Suleman)
- Review of vibration-based SHM techniques, usage monitoring, damage prognosis
- Active non-destructive evaluation techniques: ultrasonics, thermography, electromagnetics
- Piezoelectric transducer based SHM: Phased arrays for SHM in critical locations.
- Application to Aircraft Composite Structures
- Saarland University (Prof. Christian Boller)
- Why SHM in Aerospace? – An Introduction and Motivation
- Loads and Overloads: Significance, Characterization, Load Monitoring, Damage tolerance
- Predictive maintenance. Aircraft as an Example for Monitoring Complex Structures
- State-of-the-art in damage monitoring. Gathered experience and examples Strategies to implement SHM.
- System reliability issues SHM integration in existing aircrafts
- RISOE National Laboratory (Dr. Malcolm McGugan, Dr. Povl Bronsted)
- An Industry view of potential SHM benefits Establishing the fundamentals of remote condition monitoring for Offshore Wind Farms
- Hardware validation in-situ: Techniques in use, new hardware developments, examples
Common access tools for wind turbine data (CM data)
- SHM perspectives within Offshore Wind Energy
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Participating Institutions
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- University Politécnica de Madrid (Dept Aeronautics), Spain
- University of Siegen (Institute of Mechatronics), Germany
- Saarland University (Chair on NDT & Quality Assurance) & Fraunhofer IZFP, Germany
- Polish Academy of Sciences (IFFM), Poland
- Instituto Superior Tecnico (IST), Portugal
- University of Patras (Lab. for Mechanical Systems), Greece
- RISOE National Laboratory, Denmark
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