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i

Integration of bridge damage detection concepts and components, volume I : strain-based damage detection.

File Language:
English


Details

  • Creators:
    Phares, Brent M. ORCID ICON IMG ; Greimann, Lowell ORCID ICON IMG ; Choi, Hyungjoo
  • Corporate Creators:
    Iowa State University. Bridge Engineering Center
  • Corporate Contributors:
    United States. Federal Highway Administration
  • Subject/TRT Terms:
  • Publication/ Report Number:
    IHRB Project TR-636
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Iowa
  • Corporate Publisher:
    Iowa. Dept. of Transportation
  • Description:
    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.

    The statistical damage-detection tool, control-chart-based damage-detection methodologies, were further investigated and advanced. For the validation of the damage-detection approaches, strain data were obtained from a sacrificial specimen attached to the previously-utilized US 30 Bridge over the South Skunk River (in Ames, Iowa), which had simulated damage,. To provide for an enhanced ability to detect changes in the behavior of the structural system, various control chart rules were evaluated. False indications and true indications were studied to compare the damage detection ability in regard to each methodology and each control chart rule.

    An autonomous software program called Bridge Engineering Center Assessment Software (BECAS) was developed to control all aspects of the damage detection processes. BECAS requires no user intervention after initial configuration and training.
  • Format:
    PDF
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/26667/dot_26667_DS1.pdf
  • File Type:
    Filetype[PDF - 2.78 MB]
  • Collection(s):
    US Transportation Collection
  • Main Document Checksum:
    urn:sha-512:c189fc52cbcf8b015aae8e562a6bb2ff68c567ef1b9d44915246adee1e7e4b6e7bff4a6ffe5e55955a3377b8d5abcab8ad6d12864addea974deda8ac3bf7b88c
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