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TechBrief: Possible Methodology for Probabilistic Assessment of Bridge Safety Against Vehicular Collisions

File Language:
English


Details

  • Corporate Creators:
    United States. Department of Transportation. Federal Highway Administration
  • Contributors:
    Chiarito, V
  • Subject/TRT Terms:
  • Publication/ Report Number:
    FHWA-HIF-24-051
  • Resource Type:
    Brief
  • Right Statement:
    Public Domain
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    United States. Department of Transportation. Federal Highway Administration
  • Abstract:
    This study outlines a possible stochastic methodology for identifying bridges with greater probability of failure from vehicular collisions. This methodology will account for the stochastic nature of the following variables: Speed and weight of trucks. Frequency of heavy truck collisions at a given bridge location and its direct impact on bridge safety. Stochasticity of impulse loading functions for the intensity of heavy truck collisions at bridge piers. Strain rate effects on material properties from the resulting collisions. Traffic and collision data were used to develop Poisson-based probability functions for evaluating the probability of bridge failure. In this report, bridge failure represents total collapse—when one or more spans of a bridge’s superstructure has lost support of its substructure due to either the damage or destruction of the substructure or the superstructure being displaced off of the substructure. The established Poisson-based probability functions can support estimating the likelihood of bridge failure using stochastic models. These models are used to assess the vulnerability and mitigation of bridge elements and systems subjected to the impact of heavy trucks. Given the on-site availability of traffic data, 17 bridges were selected from the commonwealth of Virginia to form a test-bed study site.
  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:40cd7047291f20482f5e82cce366dca33059cd20a644d2590e06dfc78f1193a4260455e957e190f8927f7de5872f690ad9ba314f41e0869c821d24c678404721
  • Download URL:
  • File Type:
    Filetype[PDF - 1.06 MB ]
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