Saturday, 04. February 2012
 

Advanced Course On

Structural Health Monitoring

November 25th - 26th, Radisson Blu Hotel, Hamburg Airport

Main Topics Covered By Each Instructor Minimize
  • 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
       
  

Participating Institutions Minimize
  • 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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