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Apply for a joint PhD with the Toronto-Melbourne Research Training Group.
The deterioration of large infrastructure systems represents trillions of dollars in public and private domains world-wide. Currently, infrastructure asset managers face numerous challenges to maintain their assets. This includes the inability to predict residual service life of the offshore infrastructure assets as damage accumulation over time (for example, corrosion in marine environment) and identification of the appropriate time of intervention.
In collaboration with the supervisors at KU Leuven, who are experts in ultrasound structural health monitoring and machine learning diagnostics and prognostics respectively, this PhD project will focus on predicting the residual service life of the critical offshore structures through theoretical modelling in conjunction with experiments involving unmanned vehicles (for example, drone and unmanned boat) and advanced non-destructive techniques (for example ultrasound, infrared thermography and IBIS-S radar). By developing innovative models for life-cycle structural performance of offshore structures, the research outcomes from this KU Leuven-UoM project have the potential to enable maintenance and capital works decisions that maximise return on resources allocated, while maintaining the performance of offshore structures.
The University of Melbourne – A/Prof Lihai Zhang
KU Leuven – A/Prof Dimitrios Chronopoulos
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Apply for a joint PhD with the Toronto-Melbourne Research Training Group.
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