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학술저널
저자정보
Sun, Zhuoxiong (School of Mechanical Engineering, Purdue University) Krishnan, Sriram (School of Mechanical Engineering, Purdue University) Hackmann, Greg (Department of Computer Science and Engineering, Washington University in St. Louis) Yan, Guirong (Department of Civil Engineering, University of Texas at El Paso) Dyke, Shirley J. (School of Mechanical Engineering, Purdue University) Lu, Chenyang (Department of Computer Science and Engineering, Washington University in St. Louis) Irfanoglu, Ayhan (School of Civil Engineering, Purdue University)
저널정보
테크노프레스 Smart structures and systems Smart structures and systems 제16권 제1호
발행연도
2015.1
수록면
223 - 242 (20page)

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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.

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