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Variability Characteristics of Structural Health Monitoring Data and Development of Engineering Report Tool Nicolás A. Londoño David T. Lau Department.

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Presentation on theme: "Variability Characteristics of Structural Health Monitoring Data and Development of Engineering Report Tool Nicolás A. Londoño David T. Lau Department."— Presentation transcript:

1 Variability Characteristics of Structural Health Monitoring Data and Development of Engineering Report Tool Nicolás A. Londoño David T. Lau Department of Civil & Environmental Engineering Carleton University Ottawa, Canada SAMCO Summer Academy Zell am See, Austria Sept 5-9, 2005

2 Overview ► Introduction ► Computer Tools ► Research using Confederation Bridge field monitoring data 1.Design properties verification 2.Variability of monitoring data ► Engineering Report Tool ► Conclusions

3 Confederation Bridge

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6 Monitoring System Sensors Data logger On Site Computers Carleton University Processing Internet Analysis (System Identification) Frequency Mode-shape Damping ratios Condition Assessment Engineering Reporting and Interpretatio n LAN

7 Wind scenarioTraffic scenario 40 seconds 600 seconds Data characteristics

8 Wind scenarios Traffic scenarios

9 Stochastic Subspace Identification Data cross-correlations Output-only monitoring data Block Toeplitz Matrix Singular Value Decomposition Stochastic State-Space Model Matrices Frequencies Mode Shapes Damping Ratios State Space model

10 SPPLASH – Signal Processing PLatform for Analysis of Structural Health

11 Identified 2.76 Hz Theoretical 2.59 Hz MAC 0.89

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13 Verification Study – Modal Frequencies – Mode Number Type EXPERIMENTAL FREQUENCY Experimental – Theoretical Frequency Difference Mean(Hz)Min (Hz) (Hz)Max Range of Variability(%)Std (% of mean) (% of mean) Beam E35 (%) (%) Beam E43 (%) (%) Shell E35 (%) (%) Shell E43 (%) (%) 1T0.340.320.37165.822106-4 2T0.470.460.4851.42-8-3-12 3V0.570.520.63196.8219154 4V0.650.640.66311213-7 5V0.680.650.7192.110-- 7V0.920.890.95721657-4 8V0.970.950.9941.5187-- 10V1.621.61.6641.3---- 11V1.811.781.8651.213210 12V2.732.702.7930.9175-- 13V2.832.762.9152.01547-3 14V2.882.832.9441.7---- 16TP31-To3.303.263.3431.0--4-6 18V3.43.293.4751.5---- 19V-L3.793.713.9251.82311105 234.714.664.7420.6---- 25V5.135.035.2031.3165-- Averages---4.81.81547-3

14 Verification Study – Modal Damping and MAC – Mode Number Frequency MODAL DAMPING RATIOS (  ) MODAL ASSURANCE CRITERION (MAC) Mean (%) StandardDeviation (% of mean) Experimental Experimental vs. FE (shell) 1 0.341.9660.940.89 2 0.471.7390.900.85 3 0.573.8370.820.87 4 0.651.4730.890.97 5 0.682.1370.85- 7 0.921.5420.910.98 8 0.971.6420.92- 10 1.621.6700.93- 11 1.811.5530.940.96 12 2.730.8520.91- 13 2.831.3570.920.89 14 2.881.0590.89- 16 3.300.6480.560.73 18 3.40.8500.90- 19 3.790.9570.910.58 23 4.710.8420.85- 25 5.130.8480.86- Averages-1.3540.880.79

15 Variability -Sources- ► Numerical uncertainties  Deviation from model assumptions ► Data non-stationarity ► Non-whiteness of the inputs  Measurement noise  Computational uncertainties ► Use of finite datasets ► Analyst input ► Physical Uncertainties  Environmental and loading fluctuations ► Temperature effects ► Bridge-vehicle coupling, etc.

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17 Baseline Variability

18 Mode shape variability

19 Baseline variability

20 General variability

21 Temperature Effect Temperature (Hz) Modal Frequency (Hz)

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24 Variability vs. sensitivity

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28 Engineering Report Tool ► Motivation  Enhance feedback given to bridge owners and operators  Provide timely systematic information of engineering relevance for decision support ► Requirements  Automated file sorting and processing  Easy to search database

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37 END

38 Confederation Bridge Monitoring Data ► Truck Traffic induced vibration ► Wind storm (Nov. 7 2001) ► Typical ambient vibration


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