Vision-informed integrity assessment of corroded steel structures in offshore environments

Overview

Corrosion is one of the most significant threats to the long-term safety of offshore steel structures, including the rapidly expanding offshore wind sector. Automated, image-based inspection techniques are increasingly being adopted, yet they largely focus on detecting and classifying corrosion rather than on what the observed damage means for structural performance. This PhD project will explore how computer vision and artificial intelligence can be combined with structural engineering methods to support the assessment of corroded steel structures, bridging the gap between inspection data and decisions on structural safety and maintenance.

The project is jointly supervised by researchers in structural engineering and computer vision at the University of Dundee. The successful candidate will develop a valuable combination of skills in artificial intelligence and structural assessment, relevant to the offshore energy, infrastructure and asset management sectors. Prospective applicants are welcome to contact Dr Xuemei Lin to discuss the project in more detail.

Diversity statement

Our research community thrives on the diversity of students and staff which helps to make the University of Dundee a UK university of choice for postgraduate research. We welcome applications from all talented individuals and are committed to widening access to those who have the ability and potential to benefit from higher education.