Paper
19 April 2011 Recent advances in the development of a self-powered wireless sensor network for structural health prognosis
Author Affiliations +
Abstract
This paper presents the most recent advances in the development of a self powered wireless sensor network for steel and concrete bridges monitoring and prognosis. This five-year cross-disciplinary project includes development and deployment of a 4-channel acoustic emission wireless node powered by structural vibration and wind energy harvesting modules. In order to accomplish this ambitious goal, the project includes a series of tasks that encompassed a variety of developments such as ultra low power AE systems, energy harvester hardware and especial sensors for passive and active acoustic wave detection. Key studies on acoustic emission produced by corrosion on reinforced concrete and by crack propagation on steel components to develop diagnosis tools and models for bridge prognosis are also a part of the project activities. It is important to mention that the impact of this project extends beyond the area of bridge health monitoring. Several wireless prototype nodes have been already requested for applications on offshore oil platforms, composite ships, combat deployable bridges and wind turbines. This project was awarded to a joint venture formed by Mistras Group Inc, Virginia Tech, University of South Carolina and University of Miami and is sponsored through the NIST-TIP Grant #70NANB9H007.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Valery F. Godinez-Azcuaga, Daniel J. Inman, Paul H. Ziehl, Victor Giurgiutiu, and Antonio Nanni "Recent advances in the development of a self-powered wireless sensor network for structural health prognosis", Proc. SPIE 7983, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2011, 798325 (19 April 2011); https://doi.org/10.1117/12.880249
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Cited by 9 scholarly publications.
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KEYWORDS
Sensors

Bridges

Corrosion

Wind energy

Acoustic emission

Data modeling

Prototyping

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