United States Department of Transportation
i
Preserving Coastal Infrastructure through the Design and Implementation of Image-Based Structural Health Monitoring (iSHM)
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2019-01-01
[PDF-13.02 MB]
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Edition:Final 8/1/16 – 8/31/18
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Abstract:This report describes the outcomes on an investigation aimed at leveraging image-based measurement, namely three-dimensional digital image correlation (3D-DIC), with a structural health monitoring framework. This work aligns with a thrust in the emerging area of image-based structural health monitoring (iSHM) and offers the potential for a low-cost high impact assessment technique for characterizing the operational response of existing structures (i.e. bridge, culverts, and ancillary structures) with minimal service disruption and without the need for extensive instrumentation and monitoring equipment. This investigation highlights the results of an experimental laboratory study that integrates the full-field three-dimensional surface deformation response of selected steel members within a structural identification (St-ID) framework. Results from 3D-DIC measurements are mapped to a common spatial grid in parallel with the results from a 3D finite element model, and an optimization routine is employed to minimize and objective function, which in turn updates uncertain parameters within the model. The updated parameters serve as the results for the St-ID framework proposed and highlight the benefits derived form a full-field updating approach over conventional discrete sensors.
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