Damage Detection on a Full-Scale Highway Sign Structure with a Distributed Wireless Sensor Network
Abstract
Wireless sensor networks (WSNs) have emerged as a novel solution to many of the challenges of structural health monitoring (SHM) in civil engineering structures. While research projects using WSNs are ongoing worldwide, implementations of WSNs on full-scale structures are limited. In this study, a WSN is deployed on a full-scale 17.3m-long, 11-bay highway sign support structure to investigate the ability to use vibration response data to detect damage induced in the structure. A multi-level damage detection strategy is employed for this structure: the Angle-between-String-and-Horizon (ASH) flexibility-based algorithm as the Level I and the Axial Strain (AS) flexibility-based algorithm as the Level II. For the proposed multi-level damage detection strategy, a coarse resolution Level I damage detection will be conducted first to detect the damaged region(s). Subsequently, a fine resolution Level II damage detection will be conducted in the damaged region(s) to locate the damaged element(s). Several damage cases are created on the full-scale highway sign support structure to validate the multi-level detection strategy. The multi-level damage detection strategy is shown to be successful in detecting damage in the structure in these cases.
Recommended Citation
Z. Sun et al., "Damage Detection on a Full-Scale Highway Sign Structure with a Distributed Wireless Sensor Network," Smart Structures and Systems, vol. 16, no. 1, pp. 223 - 242, Techno Press, Jul 2015.
The definitive version is available at https://doi.org/10.12989/sss.2015.16.1.223
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Full scale structure; Multi-level damage detection; Wireless sensor network
International Standard Serial Number (ISSN)
1738-1584; 1738-1991
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2015 Techno Press, All rights reserved.
Publication Date
01 Jul 2015