Life prediction of materials
This project examined the applicability of a case-based reasoning paradigm for a software tool for lifetime prediction of metallic building components. The problem was to combine the two approaches to corrosion prediction so that a variety of sources of data, from studies, from experience and from first principles using the holistic model, can be combined to form the basis of the lifetime prediction tool. In addition, once the predicted lifetime for a particular situation has been determined, then this should be available for future reference. Thus, the required system must be able to store, manipulate and compare numerous use-case scenarios. Case-based reasoning was considered an ideal method for linking together the different data sources and reusing previous experiences in the current context to solve new problems.
The project delivered:
- design and implementation of a case-based reasoning (CBR) engine for life prediction of metallic building components
- an application of the CBR engine tailored to predicting durability of gutters in Queensland schools
- a stand-alone program for modelling the degradation rate of gutters using the CSIRO holistic model
- a stand-alone program for estimating salt deposition levels on bridge structures in Queensland to be used as the basis for a CBR program in the future
- a report on the Sunshine Coast site visit to school and bridge locations, which has identified several corrosion problems of interest to the industry partners.