Autonomous Sensing Skin for Detection and Localization of Fatigue Cracks

Project Details
STATUS

In-Progress

PROJECT NUMBER

14-494 IHRB and SPR TR-672

START DATE

01/09/14

END DATE

08/31/18

SPONSORS

Federal Highway Administration State Planning and Research Funding
Iowa Department of Transportation
Iowa Highway Research Board

PARTNERS

University of Kansas and KSDOT

Researchers
Principal Investigator
Simon Laflamme
Co-Principal Investigator
Brent Phares

Bridge Research Engineer, BEC

About the research

Early detection of possible defects in civil infrastructure is vital to ensuring timely maintenance and extended life expectancy. A common structural problem for bridges is the growth of fatigue cracks in steel members. While these cracks can be detected using nondestructive evaluation (NDE) techniques, automating the monitoring process would result in substantial savings in repair costs, and enhanced structural health and safety. This process is known as structural health monitoring (SHM). Existing SHM techniques are not suitable for monitoring of fatigue cracks. For instance, off-the-shelf strain gauges are small and can only be installed at specific locations, and are therefore incapable of detecting new fatigue cracks. Indirect methods exist for diagnosing new fatigue cracks from strain gauges or accelerometers, but these techniques also fail at crack localization. It follows that there is a need to develop a low-cost autonomous sensing solution capable of detecting and localizing fatigue cracks.

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