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

Shinae Jang, Sung Han Sim, Hongki Jo, Billie F. Spencer

Research output: Contribution to journalArticle

10 Citations (Scopus)

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.

Original languageEnglish (US)
Article number115019
JournalSmart Materials and Structures
Volume21
Issue number11
DOIs
StatePublished - Nov 2012
Externally publishedYes

Fingerprint

Smart sensors
damage
Structural health monitoring
sensors
Sensor networks
structural health monitoring
Sensors
Steel bridges
Sensor nodes
Costs
Data acquisition
Inspection
wireless communication
data acquisition
installing
inspection
Monitoring
Communication
communication
steels

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Civil and Structural Engineering
  • Condensed Matter Physics
  • Mechanics of Materials
  • Materials Science(all)

Cite this

Full-scale experimental validation of decentralized damage identification using wireless smart sensors. / Jang, Shinae; Sim, Sung Han; Jo, Hongki; Spencer, Billie F.

In: Smart Materials and Structures, Vol. 21, No. 11, 115019, 11.2012.

Research output: Contribution to journalArticle

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