
How to apply
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: Associate Professor Lihai Zhang
KU Leuven: Associate Professor Dimitrios Chronopoulos
*Click on the researcher's name above to learn more about their publication and grant successes.
We are seeking a PhD candidate with the following skills:
The PhD candidate will benefit from the combined expertise of the project supervisors, and the embedding into two research environments.
Associate Professor Dimitrios Chronopoulos is an expert in ultrasound and vibration-based digital-twin methodologies. These methodologies aim at identifying the health state of a structural system by quantifying and localising damaged areas on the system. His work mainly revolved around modelling ultrasound interaction with defects in complex composite and tessellated (3D printed) structures. A set of simulated signatures are numerically extracted for each assumed damage type. These signatures are then projected on experimental results in order to identify damage. Associate Professor Chronopoulos will provide training elements to No2Failure related to ultrasound modelling in complex structures and Bayesian methodologies for system identification.
Associate Professor Lihai Zhang is an expert in porous media mechanics and engineering reliability. By leading an Infrastructure Asset Protection & Management research group at The University of Melbourne, his research work mainly focuses on the reliability-based life-cycle assessment of built infrastructure, building cladding subject to hailstorm impact, corrosion of concrete in the marine environment, and structural health monitoring using non-destructive field testing methodology and unmanned vehicles (UV). His damage propagation expertise can be coupled as a natural extension to damage identification methodologies of KU Leuven to result in a holistic scheme for estimating the Remaining Useful Life (RUL) for a structural component. Associate Professor Zhang will provide training elements to No2Failure related to Damage initiation and propagation under defined loading envelopes in composite structures and) Acquiring monitoring data through non-permanently attached sensors and through unmanned vehicles (UVs).
This PhD project will be based at the University of Melbourne with a minimum 12-month stay at the KU Leuven.
The candidate will be enrolled in the PhD program at the Department of Infrastructure Engineering at the University of Melbourne and in the PhD program at the Faculty of Engineering Technology at KU Leuven.
To apply for this joint PhD opportunity, and to view the entry requirements, visit How to apply.
Apply for a joint PhD with the Toronto-Melbourne Research Training Group.
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