Structural Health Monitoring (SHM)

We specialize on physics-aware data-driven vibration-based techniques for damage diagnosis (detection, location, quantification) and structural integrity assessment (remaining useful life).

• Application of our Bayesian statistical time-series framework to construct reference models for unsupervised and supervised damage diagnosis.
• Developing methods for compensation of environmental and operational variability for robust damage diagnosis.
• Bayesian FEM updating techniques to develop damage diagnosis procedures or as simulators for synthetic data generation.
• Constructing reduced-order fatigue life estimation methods from vibration and operational data.
• Virtual sensing techniques supporting structural condition assessment on hard-to-reach locations or for reduced-cost monitoring.