There are several algorithms for measurement-data interpretation and structural evaluation that have been proposed
and implemented by various researchers over the past years. Although there is no current reliable standardized
method that can be applied to bridges for detection of abnormal behaviors, consideration of structural health
monitoring (SHM) at the design stage seems to be a necessity for achieving an efficient and reliable monitoring of
In this paper, result of the long term SHM of the US Grant Bridge that was initiated at the design stages of the
bridge is presented. First, the components of the monitoring system are overviewed. Second, long term data patterns
of the collected strain data are combined with temperature data to document the “normal” or expected behavior of
the structure. Finally, the result of the calibrated data model and its performance during a major maintenance event
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11-06-10 19-09-10 28-12-10 07-04-11 16-07-11 24-10-11 01-02-12
Strain No dimention (Balanced based on Standard deviation ~9 μ E
Simulated data vs Actual Measurement using one year measurement
ARIMAX Model Result
Seasonal Mean ± Seasonal σ
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