Learning system for life prediction of infrastructure[Corrigan, CSIRO] 2005-003-B

The project will further develop the software tools created in previous case-based reasoning in construction and infrastructure for lifetime prediction of metallic components projects, to widen their applicability and usefulness.

The metal faade application will be extended to include up to ten components. Maintenance costs will be used as a guideline in choosing the components that are most expensive from a life cycle perspective, either because they need replacing frequently, or have a high cost of replacement. In addition, maintenance records and methods will be determined to incorporate the ongoing input of this information into the programs maintenance database, ensuring output data is based on current conditions.

The bridge application will include more bridge structures, as well as incorporating the effects of height above water level and natural wash-off on the salt deposition levels. A corrosivity index which indicates the aggressiveness of the environment in which a bridge is situated will also be incorporated into the program, alongside the bridge component analysis to give greater detail and more information.