Improved Management of Australian Port Infrastructure by Development of Predictive Ageing Simulation: data

The Monash dataset generated from this ARC Linkage Project contains newly derived data from the raw data collected from port authorities Australia wide. The project receives funding from two port authorities and Architecture, Engineering, Consulting, Operations and Management (AECOM), previously Maunsell. It is led by Frank Collins from Monash University who is working with co-investigators: Nick Birbilis (Monash University); Tom Molyneaux, David Law, Jennifer Fernandes (significant partners from Royal Melbourne Institute of Technology) and Marita Berndt, Frederic Blin, Miles Dacre from AECOM. The aim of the research is to be able to create predictive models for port authorities to manage the service life of these structures through various stages and conditions. Data has been collected from condition records, surveys and non-destructive testing supplied by industry partners and analysis of literature provides material properties and structural properties so that the source data contains properties of steel and concrete and types of iron oxide rust that evolve from the corrosion as well as data for loss of bond, crack prediction and micro crack prediction. Most previous models have been one-dimensional but this dataset is analysed using a three-dimensional numerical model created using finite element analysis with Advanced Tool for Engineering Nonlinear Analysis (ATENA) software by Roger Zou of Monash University. Eventually a website will give access to a database to visualise corrosion prediction in order to better manage in-service durability.