The Use of Element Level Data & Bridge Management Software in the Network Analysis of Big Bridges

The project goals are to investigate the inspection practices, management strategies, and analysis systems currently employed for Big Bridges and to suggest modifications, improvements, and recommendations for enhancement. Currently, Big Bridges are treated the same as smaller or less-complex bridges within existing bridge management programs and software packages. This simplistic approach is sub-optimal for Big Bridges that are composed of various structure types that function more as a network of adjacent structures with complex interactions between various components. Several products, recommendations, documents and guidelines were developed as part of this study, including: recommended additions and changes to the list of currently recognized AASHTO National Bridge Elements and Bridge Management Elements contained in the AASHTO Manual for Bridge Element Inspection; guidelines for the breakdown of Big Bridges into smaller units; a methodology for the inspection and collection of element level data; a framework for modifications to the AASHTOWare BrM™ software; recommended approaches for asset management, including adapting and supplementing existing tools as a part of network level decision making; a recommended migration path to location aware recording of damage instances while maintaining long-term cost analysis; and recommendations for future research.

  • Record URL:
  • Supplemental Notes:
    • Cover date: December 21, 2017.
  • Corporate Authors:

    Modjeski and Masters, Incorporated

    Mechanicsburg, PA  United States  17050

    Michigan Department of Transportation

    Research Administration
    8885 Ricks Road, P.O. Box 30049
    Lansing, MI  United States  48909

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Croop, Bradly C
    • Thompson, Paul
    • Ahlborn, Tess
    • Brooks, Colin N
    • Puckett, Jay
    • Fyrster, Maxwell
    • Murphy, Thomas P
    • Lopez, Maria
    • Banach, David M
  • Publication Date: 2017-10-13

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; Photos; Tables;
  • Pagination: 411p

Subject/Index Terms

Filing Info

  • Accession Number: 01668734
  • Record Type: Publication
  • Report/Paper Numbers: 0R14-022, SPR-1667
  • Contract Numbers: 2016-0022; TPF-5(308)
  • Files: TRIS, ATRI, USDOT, STATEDOT
  • Created Date: May 8 2018 2:09PM