New Trends in Vibration Based Structural Health Monitoring
Invited Lecturers
- Guido De Roeck (Kath. Univ. Leuven, Heverlee, Belgium)
- 5 lectures on: System identification by ambient vibration, global optimization methods for damage detection, estimation of variance in the system identification and subsequent uncertainty propagation in the damage identification, experimental applications to damage detection of reinforced and prestressed concrete girders, bridges and buildings.
- Arnaud Deraemaeker (Free University of Brussels, Bruxelles, Belgium)
- 5 lectures on: Advances in sensors and instrumentation, data reduction in large sensor networks, stochastic subspace damage detection and modal filtering for damage detection using ambient vibration measurements under changing environment, damage detection in cables.
- Charles Farrar (Los Alamos National Labor., Los Alamos, New Mexico, USA)
- 7 lectures on: A statistical pattern recognition paradigm for SHM, sensor network design considerations for SHM, wireless sensor networks for SHM applications, damage sensitive features derived from linear dynamics, damage sensitive features derived from nonlinear dynamics, applications (Civil, Mechanical, Aerospace), damage prognosis.
- Jyrki Kullaa (Dept of Mech. & Production Eng, City of Helsinki, Finland)
- 6 lectures on: Functions of an SHM system, sensor fault identification and correction, SHM under changing environmental or operational conditions (linearly and non-linearly correlated), dimensionality reduction and control charts in damage detection, mechanical engineering applications (hydraulic vehicle crane).
- Wieslaw Ostachowicz (Centre f.Mechanics of Machines, Gdansk, Poland)
- 6 lectures on: Methods based on the phenomenon of elastic waves propagation, low and high frequency methods in SHM, wave propagation in composite structures: interaction with damage, optimal Sensor Networks for damage localization using Lamb waves, modeling of structural stiffness loss due to damage, experimental applications of Lamb waves.
- Keith Worden (University of Sheffield, Sheffield, Great Britain)
- 6 lectures on: Inverse methods for damage identification, probability theory, pattern recognition and machine learning, neural networks, statistical learning theory and support vector machines, applications of SHM.