Corrosion Pits as Growing Notches: A New Paradigm for Corrosion–Fatigue Interaction

This project aims to revolutionize how engineers predict the fatigue life of metals affected by corrosion. Fatigue is the leading cause of structural failures, worsened dramatically by corrosion, which reduces fatigue life by up to 90%. Despite extensive research, reliable prediction remains elusive Develop a novel model treating corrosion pits as evolving notches that change geometry affecting local stresses and fatigue. Integrate dynamic pit growth into numerical fatigue-damage models for unprecedented predictive accuracy under real-world conditions. Conduct corrosion–fatigue accelerated testing and characterize pit evolution using SEM, 3D optical microscopy, nanoindentation, and electrochemical methods. Develop finite-element models in ANSYS® simulating pit growth and progressive fatigue damage. Validate and refine predictive life models using experimental datasets. Present findings at conferences, publish journal articles, and engage with industry stakeholders. Produce a dynamic modeling framework advancing fatigue-life prediction of corroded metals, with demonstrable improvements over current approaches. Generate high-quality experimental data supporting model validation and refinement. Build strong industry links and contribute to safety improvements in energy, transport, and aerospace sectors. This research addresses critical challenges in material degradation affecting infrastructure safety and economic sustainability. Improved fatigue-life predictions help prevent unexpected failures, reduce costly downtime, and extend the service life of vital engineering systems, supporting resilience in key industries.

Applicants should hold at least a 1st or 2:1 Honours degree in mechanical engineering, materials science, corrosion science, structural integrity, computational modelling, or a related discipline. Experience with finite-element analysis is advantageous but not essential — training will be provided. Non-native English speakers must provide IELTS 7.0 (minimum 6.5 in all components) or equivalent, taken within the last two years. Applications are strongly encouraged from underrepresented groups including women, LGBTQ+, and minoritised ethnic communities.

Submit via Sheffield Hallam University's online application form. Upload the following:
(1) a personal statement (max 2 pages) detailing your interest and relevant experience;
(2) two letters of reference (at least one academic, both dated within the last 2 years);
(3) copy of your highest degree certificate;
(4) non-UK applicants must also submit IELTS results (taken within the last 2 years) and a copy of their passport. If applying to multiple GTA projects, list all in your application and submit a tailored personal statement for each. Application deadline: 07 May 2026. Interviews: TBC.