1. Sensitivity Evaluation of Subspace-based Damage Detection Technique Saeid Allahdadian Dr. Carlos Ventura PhD Student, The University of British Columbia, Vancouver, Canada The 5 th Tongji-UBC Symposium on Earthquake Engineering “Facing Earthquake Challenges Together” May 4-8 2015, Tongji University, Shanghai, China

2. 2 Subspace based damage detection Damage detection approach Investigation of sensitivity Case study Damage and noise simulation Results Conclusion Outline

3. Benefits: Rapid assessment of whether or not a system has changed its dynamic behavior. Upload a new measurement file and get a Yes or No whether a significant change has happened. Applicable for real time monitoring of structures. Limited user interaction once the system is set for testing. Subspace based damage detection

4. - 4 Structure healthy Measurement in healthy state Measurement in current state Statistical comparison concerning the vibration characteristics Significant change? Damage (or something else?) Damage detection approach

5. Formulation

6. Sensitivity analysis of the damage detection approach to: ◦ Damage location ◦ Damage ratio ◦ Noise ratio 6

7. S101 bridge structure

8. Pier settlement as controlled damage

9. Natural frequencies of the bridge structure in undamaged condition obtained from the measured data and finite element model Data analysis

10. Damage ratio Minor damage 20% Intermediate damage 40% Severe damage 80% The damage is simulated only in one finite element corresponding to the center of the main girder by reducing a ratio of its section dimension around the strong axis The imposed noise on the data is created using a random generation algorithm with evenly distributed probability distribution N r : noise ratio m i : maximum value measured for each channel Damage and noise simulation

11. Noise superposition

12. Noise characteristics The effect of the noise in the data is more visible on low amplitude parts of the signal High effect Low effect zoom Freq. domain

13. Measuring-points corresponding to sensor locations in ARTeMIS® software and spectral densities Operational modal analysis

14. 14 Girder center Deck Bearings Cap beams Damage location and ratio effect

15. Noise and damage ratio effect

16. The optimum range of noise ratio in this set of data is from 2% to 30% equal in reference and measured data with a peak about 5% Discussion on results

17. When there is noise in the reference data, there should be more samples and measurements performed in order to acquire a reliable safety threshold. Not only the higher noise in the measured data than the reference state can be interpreted as damage but also the lower noise in the measured data considering the reference state noise ratio can also affect the outcome of the damage detection technique Results are stable for the region between 2% and 30% noise on the outputs In most of the cases, even with very high noise ratios the damage can be identified using the SSDD technique. The reason: evaluation of the changes in the eigen-structure of the model. Conclusion

18. 18 Certificate of Structural Engineering Program Thanks for your attention!