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Smart Structures and Systems
  Volume 6, Number 5, July-August 2010, pages 711-730

Autonomous smart sensor nodes for global and local damage detection of prestressed concrete bridges based on accelerations and impedance measurements
Jae-Hyung Park, Jeong-Tae Kim, Dong-Soo Hong, David Mascarenas and Jerome Peter Lynch

    This study presents the design of autonomous smart sensor nodes for damage monitoring of tendons and girders in prestressed concrete (PSC) bridges. To achieve the objective, the following approaches are implemented. Firstly, acceleration-based and impedance-based smart sensor nodes are designed for global and local structural health monitoring (SHM). Secondly, global and local SHM methods which are suitable for damage monitoring of tendons and girders in PSC bridges are selected to alarm damage occurrence, to locate damage and to estimate severity of damage. Thirdly, an autonomous SHM scheme is designed for PSC bridges by implementing the selected SHM methods. Operation logics of the SHM methods are programmed based on the concept of the decentralized sensor network. Finally, the performance of the proposed system is experimentally evaluated for a lab-scaled PSC girder model for which a set of damage scenarios are experimentally monitored by the developed smart sensor nodes.
Key Words
    autonomous; wireless; smart sensor node; prestressed concrete bridge; structural health monitoring.
Jae-Hyung Park, Jeong-Tae Kim and Dong-Soo Hong; Department of Ocean Engineering, Pukyong National University, Busan, Korea
David Mascarenas; Los Alamos National Laboratory, Los Alamos, USA
Jerome Peter Lynch; Department of Civil and Environmental Engineering, University of Michigan, USA

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