Embedded FSS Sensing for Structural Health Monitoring of Bridge Columns
Structural health monitoring (SHM) is important to the infrastructure and transportation industries. SHM is often performed nondestructively, and a number of testing modalities including microwave nondestructive testing (NDT) have been successfully used to accomplish this goal. Within the realm of microwave NDT, sensors based on frequency selective surface (FSS) principles have found application for SHM, including detection of normal and shear strain, as well as delamination and disbond detection in layered structures. This work focuses on the design and implementation of an embedded FSS sensor for detection of strain and buckling during displacement load testing of a novel steel-tube reinforced concrete column.
D. F. Pieper et al., "Embedded FSS Sensing for Structural Health Monitoring of Bridge Columns," Proceedings of the 2016 IEEE International Instrumentation and Measurement Technology Conference (2016, Taipei, Taiwan), vol. 2016-July, Institute of Electrical and Electronics Engineers (IEEE), May 2016.
The definitive version is available at https://doi.org/10.1109/I2MTC.2016.7520475
2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 (2016: May 23-26, Taipei, Taiwan)
Electrical and Computer Engineering
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Concrete testing; Frequency selective surfaces; Load testing; Microwave sensors; Reinforced concrete; Shear strain; Steel testing; Strain measurement; Structural health monitoring; Tubular steel structures, Bridge columns; Design and implementations; Embedded sensing; Frequency selective surface (FSS); Microwave non-destructive testing; Reinforced concrete column; Structural health monitoring (SHM); Transportation industry, Nondestructive examination; Microwave Nondestructive Testing; Steel buckling
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International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 May 2016