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Vision-based structural flexibility identification using substructure impact testing
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DOI：10.1177/14759217251351018.png)
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Abstract
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Accurately and rapidly estimating bridge flexibility is crucial for structural health diagnosis and performance evaluation. Traditional impact testing methods for flexibility identification use numerous sensors placed on the bridge deck, these methods suffer from low efficiency. To address this issue, a substructure mobile impact testing strategy using noncontact vision-based structural displacement measurements is proposed to estimate bridge flexibility. The advantages of this method include (1) impact testing is performed using only a movable single camera and an impact hammer, improving testing efficiency; (2) the use of multipoint vision-based noncontact measurements of dynamic displacements based on the adaptive kernel correlation filters (AKCF), reduces testing costs; and (3) overcoming field-of-view limitations, the flexibility matrix of the entire bridge is obtained through a reference-free mobile impact testing method by integrating the substructure results. Finally, the effectiveness of this method is validated through laboratory experiments with a simply supported beam model.
Keywords:
bridge flexibility
mobile impact testing
vision-based measurement
structural health monitoring
adaptive kernel correlation filters
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