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Integration of bridge damage detection concepts and components, volume III : wireless bridge monitoring hardware.

File Language:
English


Details

  • Creators:
    Zhu, Jin ORCID ICON IMG
  • Corporate Creators:
    University of Northern Iowa. Electrical Engineering Technology
  • Subject/TRT Terms:
  • Publication/ Report Number:
    IHRB Project TR-636
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Iowa
  • Corporate Publisher:
    Iowa. Dept. of Transportation
  • Abstract:
    In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation ; system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and ; communication network architecture. ; This report volume (Volume III) summarizes the energy harvesting techniques and prototype development for a bridge monitoring ; system that uses wireless sensors. The wireless sensor nodes are used to collect strain measurements at critical locations on a ; bridge. The bridge monitoring hardware system consists of a base station and multiple self-powered wireless sensor nodes. The ; base station is responsible for the synchronization of data sampling on all nodes and data aggregation. Each wireless sensor node ; include a sensing element, a processing and wireless communication module, and an energy harvesting module. ; The hardware prototype for a wireless bridge monitoring system was developed and tested on the US 30 Bridge over the South ; Skunk River in Ames, Iowa. The functions and performance of the developed system, including strain data, energy harvesting ; capacity, and wireless transmission quality, were studied and are covered in this volume.
  • Format:
    PDF
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/26669/dot_26669_DS1.pdf
  • File Type:
    Filetype[PDF - 2.47 MB]
  • Collection(s):
    US Transportation Collection
  • Main Document Checksum:
    urn:sha-512:a5be27eb4f2af8892e1a0f8b2dbb0227f3fb5040b9f35dfd6164d49e5f735c7aa25a5b64f962e440de54556f54788c44859f7d92820387c6370c4f19564a6b13
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