United States Department of Transportation
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Data Management, Mining, and Inference for Bridge Monitoring
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2023-10-04
[PDF-17.70 MB]
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Edition:Final Report 12/04/2019 – 10/03/2023
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Abstract:According to the Federal Highway Administration (FHWA), there are over 600,000 highway bridges in the United States. Nationwide, the performance evaluation of bridges starts with the inspection of the bridge to determine the current condition. Inspections are conducted in accordance with the National Bridge Inspection Standards (NBIS). With more than 25,000 state-owned bridges, Pennsylvania has the third-largest number of bridges in the United States. As the average age is over 50 years old, the maintenance and management of this large inventory is critical to optimize repair and rehabilitation costs and to minimize the risk of structural failures. Over the past two decades there has been an escalating interest worldwide for cost-effective structural health monitoring (SHM) strategies to monitor bridges 24/7. SHM is the scientific process of identifying damage in a given structure of interest using a non-invasive network of sensors embedded or bonded to that structure. SHM evolves the inspection paradigm from “time-based” NDE in which a structure is inspected periodically, to permanent-based where the sensors monitor the structure in real-time in order to flag, locate, and quantify damage as it happens. The sensors measure physical characteristics like strain, acceleration, temperature, just to mention a few, while dedicated hardware/software elaborates the set of time series streamed from the sensors.
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