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Author

Sim, Sung-Han
Smart Infrastructure Systems Lab
Research Interests
  • Smart Sensor and Sensor Network, Structural Health Monitoring, Digital Image Processing

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Full-scale experimental validation of decentralized damage identification using wireless smart sensors

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Title
Full-scale experimental validation of decentralized damage identification using wireless smart sensors
Author
Jang, ShinaeSim, Sung-HanJo, HongkiSpencer, Billie F., Jr.
Keywords
Bridge monitoring; Centralized approaches; Civil infrastructures; Civil structure; Damage Identification; Decentralized networks; Dense arrays; Experimental validations; High costs; Primary objective; Sensor channels; Steel truss bridge; Structural damage identification; Visual inspection; Wired sensors; Wireless communication capabilities; Wireless smart sensors
Issue Date
201211
Publisher
IOP PUBLISHING LTD
Citation
SMART MATERIALS AND STRUCTURES, v.21, no.11, pp.1 - 13
Abstract
Wireless smart sensor networks (WSSN) facilitate a new paradigm for structural health monitoring (SHM) of civil infrastructure. Conventionally, SHM systems employing wired sensors and centralized data acquisition have been used to characterize the state of a structure; however, widespread implementation has been limited due to high costs and difficulties in installation. WSSN offer a unique opportunity to overcome such difficulties. Recent developments have realized low-cost, smart sensors with on-board computation and wireless communication capabilities, making deployment of a dense array of sensors on large civil structures both economical and feasible. Wireless smart sensors (WSS) have shown their tremendous potential for SHM in recent full-scale bridge monitoring examples. However, structural damage identification using on-board computation capability in a WSSN, a primary objective of SHM, has yet to reach its full potential. This paper presents full-scale validation of a damage identification strategy using a decentralized network of Imote2 nodes on a historic steel truss bridge. A total of 24 WSS nodes with 144 sensor channels are deployed on the bridge to validate the developed damage identification software. The performance of this decentralized damage identification strategy is demonstrated on the WSSN by comparing its results with those from the traditional centralized approach, as well as visual inspection.
URI
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DOI
http://dx.doi.org/10.1088/0964-1726/21/11/115019
ISSN
0964-1726
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