摘要: |
In order for Bridge Management Systems (BMSs) to be effective, they must be based on a reliable, statistically sound means for predicting service life for the variable conditions and structures that are present on the system. To make sensible life cycle cost decisions in design and construction, bridge engineers must be able to account for distress phenomena such as corrosion, and to assess the impact of durability strategies. In recent years various corrosion protection systems have been evaluated. Most evaluations involve accelerated laboratory testing, and, in some instances, limited field verification. In general, these evaluations have considered only a few samples and somewhat limited test conditions, providing a database that is inadequate for reliable life prediction for the wide range of real world structural conditions and applications. Thus, it is important how test data are analyzed and extrapolated with respect to a real structure and the bridge system as a whole. This paper presents a methodology for incorporating statistical reliability considerations into corrosion service life prediction and life cycle cost analysis that was developed as part of a Federal Highway Administration (FHWA) study on corrosion resistant reinforcement. This approach gives the engineer the ability to statistically consider different material, environmental, structural, and corrosion protection factors in computing the life cycle costs, and is applicable to any corrosion protection system. Its application is demonstrated using corrosion performance data and service models from the FHWA study. |