- Title
- Reliability assessment of a typical steel truss bridge
- Creator
- Shah, Parvez Mustaque; Stewart, Mark; Fok, Henry
- Relation
- 7th Austroads Bridge Conference: Bridges Linking Communities. 7th Austroads Bridge Conference: Bridges Linking Communities: Conference Abstracts and Papers (Auckland, New Zealand 26-29 May, 2009)
- Publisher
- Convention Management
- Resource Type
- conference paper
- Date
- 2009
- Description
- The paper presents the structural reliability analysis of a multilane steel truss bridge to assess the safety of the bridge, both in its current configuration and with the addition of a new lane. Probabilistic models of tensile and compressive resistance, as well as dead load, were obtained from existing literature. The probabilistic model of the peak 50-year live load was derived from traffic survey data obtained from the bridge site which enabled an Extreme Value Type I (EV-Type 1 or Gumbel) distribution to be fitted to the upper tail of the distribution of load effects due to traffic loading. The reliability analysis also included: (i) loading model uncertainty which allows for uncertainty in the selection of load and the structural analysis, and (ii) the effect of resistance updating based on proven service performance. The reliability analysis found that the reliability index for the current bridge is 3.1. The reliability index for the new clip-on bus lane reduces to 2.9. If the weakest structural member is strengthened by 10%, 15% or 20% then the reliability indices increase to 3.18, 3.26 and 3.30 respectively. The reliability indices are compared to the target reliabilities recommended in the Australian Standards. This paper aims to determine the realistic bridge load capacity and the appropriate strengthening to carry maximum traffic load without minimising risk. The structural reliability analysis provides very useful risk management tool for assessing the safety of existing bridges.
- Subject
- structural reliability analysis; steel truss bridges; bridge load capacity; safety assessment
- Identifier
- uon:8840
- Identifier
- http://hdl.handle.net/1959.13/919349
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