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학술저널
저자정보
Castaneda, Nestor E. (Department of Mechanical, Aerospace and Structural Engineering, Washington University in St. Louis) Dyke, Shirley (Department of Mechanical, Aerospace and Structural Engineering, Washington University in St. Louis) Lu, Chenyang (Department of Computer Science and Engineering, Washington University in St. Louis) Sun, Fei (Department of Computer Science and Engineering, Washington University in St. Louis) Hackmann, Greg (Department of Computer Science and Engineering, Washington University in St. Louis)
저널정보
테크노프레스 Structural engineering and mechanics : An international journal Structural engineering and mechanics : An international journal 제32권 제6호
발행연도
2009.1
수록면
787 - 809 (23page)

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Recent interest in the use of wireless sensor networks for structural health monitoring (SHM) is mainly due to their low implementation costs and potential to measure the responses of a structure at unprecedented spatial resolution. Approaches capable of detecting damage using distributed processing must be developed in parallel with this technology to significantly reduce the power consumption and communication bandwidth requirements of the sensor platforms. In this investigation, a damage detection system based on a distributed processing approach is proposed and experimentally validated using a wireless sensor network deployed on two laboratory structures. In this distributed approach, on-board processing capabilities of the wireless sensor are exploited to significantly reduce the communication load and power consumption. The Damage Location Assurance Criterion (DLAC) is used for localizing damage. Processing of the raw data is conducted at the sensor level, and a reduced data set is transmitted to the base station for decision-making. The results indicate that this distributed implementation can be used to successfully detect and localize regions of damage in a structure. To further support the experimental results obtained, the capabilities of the proposed system were tested through a series of numerical simulations with an expanded set of damage scenarios.

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