Abstract
Vibration-based monitoring was performed on a short-span skewed highway bridge on the basis of wireless measurements. By means of operational modal analysis, highly accurate modal results (frequencies and mode shapes) were extracted by using a self-developed wireless acquisition system, for which the performance was verified in the field. In order to reproduce the experimental modal characteristics, a refined finite element model was manually tuned to reduce the idealization errors and then updated with the sensitivity method to reduce the parametric errors. It was found that to build a reliable Finite element (FE) model for application in structural health monitoring, the effects of superelevation and boundary conditions of a skewed bridge should be taken into account carefully.
Highlights
Structural health monitoring (SHM) aims at observation and interpretation of full-scale and long-term performance of civil infrastructures
In order to identify the experimental modes of the bridge, vibration measurements were performed on the structure under operational conditions
It was concluded that the modelling errors due to simplification or idealization from the assumptions, such as those related to the superelevation and boundary conditions, could only be reduced by improvement of the Finite element (FE) model, instead of the parametric updating
Summary
Structural health monitoring (SHM) aims at observation and interpretation of full-scale and long-term performance of civil infrastructures. Some advanced identification methods are required [26], and the versatile testing technique and highly sensitive and reliable acquisition systems are important. In this regard, the combination of accelerometer and strain senor can contribute to derive very accurate modal curvature of bridges for damage assessment [27,28]. It is shown that superelevation and boundary conditions play an important role for deriving a reliable FE model of a short-span skewed highway bridge for its monitoring
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