Paper
4 April 2012 Development of a wireless strain node and the software to monitor fracture-critical bridges
Jeremiah Fasl, Vasileios Samaras, Matt Reichenbach, Todd Helwig, Sharon L. Wood, David Potter, Richard Lindenberg, Karl Frank
Author Affiliations +
Abstract
Real-time, monitoring systems can enhance the bridge inspection process by providing data for estimating the health of the bridge and potentially notifying bridge owners of problems between inspection visits. A low-power, wireless, strain data acquisition device has recently been developed to acquire dynamic strain data. Strain gages can be used to monitor the number and size of stress cycles in fatigue-sensitive members. From the cycle count, Palmgren-Miner's rule can be used to determine an effective stress range. The remaining fatigue life can then be calculated and compared to existing conditions and the age of the bridge. Because damage is expected to escalate over time, more frequent inspections may be needed when a bridge approaches its fatigue life. The strain node can be programmed in LabVIEW WSN to detect critical events or perform a rainflow analysis. To aid in system interaction, a software interface will be designed to allow for automated processing and transmission of data to a cloud server, thereby allowing engineers and bridge owners to access the data from anywhere so as to make informed decisions when prioritizing inspections. This paper will present the development of the strain node and the software interface.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeremiah Fasl, Vasileios Samaras, Matt Reichenbach, Todd Helwig, Sharon L. Wood, David Potter, Richard Lindenberg, and Karl Frank "Development of a wireless strain node and the software to monitor fracture-critical bridges", Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83471R (4 April 2012); https://doi.org/10.1117/12.915071
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Bridges

Sensor networks

LabVIEW

Clouds

Inspection

Software development

Fourier transforms

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