Development of risk models for Florida's bridge management system.
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Development of risk models for Florida's bridge management system.

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  • Creators:
  • Corporate Creators:
    Florida State University. Dept. of Civil and Environmental Engineering
  • Corporate Contributors:
    United States. Federal Highway Administration
  • Subject/TRT Terms:
  • Publication/ Report Number:
    BDK83 977-11
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Florida
  • Corporate Publisher:
    Florida. Dept. of Transportation. Research Center
  • NTL Classification:
    NTL-HIGHWAY/ROAD TRANSPORTATION-Bridges and Structures;NTL-PLANNING AND POLICY-Management Systems;NTL-ENERGY AND ENVIRONMENT-ENERGY AND ENVIRONMENT;
  • Abstract:
    Florida Department of Transportation (FDOT) has been actively implementing the American Association of State Highway Transportation Officials (AASHTO) Pontis Bridge Management System (BMS), recently renamed AASHTOWare Bridge Management (BrM), to support network-level and project-level decision making in the headquarters and district offices. This system is an integral part of a Department-wide effort to improve the quality of asset management information provided to decision makers. With the success of FDOT‟s previous research efforts, it was necessary to extend bridge management tools and processes to an area that is receiving increasing attention nationally: risk management. The state of Florida is exposed to risk on its bridges from many natural and man-made hazards, including hurricanes, tornadoes, flooding and scour, and wildfires, as well as advanced deterioration, fatigue, collisions, and overloads.

    This study developed a comprehensive framework and components of a risk model for these listed hazards. For each hazard, historical data were utilized to develop risk assessment models which predicted the likelihood of such events and also quantified the consequences of the hazard event. Sources of data with several years of recorded events included the following: the Department‟s databases on bridge inventory and inspection; District‟s records of damage after hazards; NOAA‟s climatic data; FEMA; and the Florida Department of Forestry.

    The research identified the types of bridges (design type and material type) and specific bridge elements that are most vulnerable to damage under the hazard events. The overall risk model was used to identify the top 20 bridges that are most vulnerable under each of the hazard types. Finally, recommendations are presented as well as modifications to the Project Level Analysis Tool (PLAT).

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