(2025) Research Solutions: Monitoring Bridge Fatigue Cracking with Wireless Sensors, TPF-5(449), 2025. Transportation, Department of
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Abstract
In this project, we extended research and development of a novel sensing technology previously investigated in the pooled fund initiative TPF-5(328). The technology is a soft elastomeric capacitor (SEC) developed at Iowa State University. It is a geometrically large strain gauge, and its measurement principle is based on transducing changes in strain into measurable changes in capacitance. Arranged in a network configuration, it can monitor strain over a large area at a given resolution. The SEC technology is inexpensive and easy to deploy and is therefore highly scalable. It follows that the technology can be used to discover new fatigue cracks and to track and quantify damage, an important challenge to numerous departments of transportation. The overarching objective of our project was to enable large-scale deployments in the United States by addressing further essential development needs uncovered during the previous research to achieve more robust, accurate, and flexible crack monitoring using the wireless skin sensor network. In particular, within this three-year research phase (Phase 1), we have (1) designed the SEC for robust long-term field deployment, (2) provided the technology with improved wireless and augmented sensing capabilities, (3) formulated a crack detection algorithm that accommodates diverse structural configurations and can be directly used by engineers for decision making, (4) improved damage quantification capabilities for complex geometries and composite materials, and (5) validated and demonstrated the improved version of the wireless crack sensing technology on a bridge in the field through long-term deployment.
Item Type: | Departmental Report |
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Keywords: | fatigue cracking—fillet welds—soft elastomeric capacitor—steel bridge—strain sensing—structural health monitoring—wireless sensing |
Subjects: | Transportation Transportation > Bridges and tunnels Transportation > Research Transportation > Data and Information Technology |
ID Code: | 51972 |
Deposited By: | Iowa DOT Research |
Deposited On: | 11 Feb 2025 22:09 |
Last Modified: | 11 Feb 2025 22:09 |
URI: | https://publications.iowa.gov/id/eprint/51972 |