Modal identification technique based on distributed sensor networks

Min Zhang, Huicai Xie, Sung Han Sim, B F Spencer

Research output: Contribution to journalArticle

Abstract

Identification of the dynamic characteristics of civil structures is important in structural health monitoring. A large number of data must be available from a dense array of sensors for large-scale civil structures and poses a big challenge to the conventional centralized processing technique. Smart sensor networks (SSN) with decentralized processing capability provides new possibilities for structural health monitoring. A distributed method is proposed to calculate the global mode shape in SSN. Stochastic subspace identification is implemented to identify local mode shapes, which are rescaled by using particle swarm optimization method, and subsequently to combine global mode shapes. Using an arch bridge model as an example, the distributed method is shown to be effective. The global mode shapes are close to those from centralized method according to modal assurance criterion (MAC).

Original languageEnglish (US)
Pages (from-to)106-110
Number of pages5
JournalTumu Gongcheng Xuebao/China Civil Engineering Journal
Volume43
Issue number3
StatePublished - Mar 1 2010

Fingerprint

Smart sensors
Structural health monitoring
Sensor networks
Arch bridges
Processing
Particle swarm optimization (PSO)
Sensors
Sensor
Health
Monitoring

Keywords

  • Centralized technique
  • Distributed method
  • Modal identification
  • Smart sensor network
  • Structural health monitoring

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction
  • Arts and Humanities (miscellaneous)

Cite this

Modal identification technique based on distributed sensor networks. / Zhang, Min; Xie, Huicai; Sim, Sung Han; Spencer, B F.

In: Tumu Gongcheng Xuebao/China Civil Engineering Journal, Vol. 43, No. 3, 01.03.2010, p. 106-110.

Research output: Contribution to journalArticle

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