Zahra Sharif Khodaei
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Professor at Imperial College London
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Recent Grants
Grant: Close
SHERLOC
Open Date: 2015-10-01
Close Date: 2022-09-01
Grant: Close
SARISTU
Open Date: 2015-01-01
Close Date: 2017-01-01
Grant: Close
SMASH
Open Date: 2013-01-01
Close Date: 2015-01-01
Positions (1)
Zahra Sharif Khodaei
Imperial College London
9 months ago
[Full coverage of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students.] This PhD studentship at Imperial College London focuses on developing a digital twin for composite pressure tanks used in hydrogen storage for aviation. Hydrogen fuel is a promising alternative to fossil fuels, but its adoption in aircraft is hindered by storage challenges, including the need for lightweight, robust composite tanks that can withstand high pressures, cyclic loading, and long-term degradation. The project aims to address these issues by advancing Structural Health Monitoring (SHM) and Digital Twinning (DT) technologies. SHM will provide real-time insights into tank condition, using methods such as acoustic emission to detect early signs of damage, leaks, or degradation. The digital twin will integrate physical models, sensor data, computational methods, and concepts from damage and fracture mechanics, enabling predictive maintenance and lifetime assessment. The research will leverage machine learning to enhance the accuracy and utility of the digital twin, ultimately improving safety, reliability, and design optimization for hydrogen-powered aviation. The successful candidate will gain expertise in computational mechanics, SHM, and machine learning, with a focus on fundamental research that can impact diverse fields. The studentship is fully funded for 3.5 years, covering tuition fees and providing a tax-free stipend of £22,780 per year for Home, EU, and International students. Applicants must hold or expect to hold a First class honours MEng/MSci or equivalent in Aeronautics or Mechanical Engineering, with strong skills in structural mechanics and computational methods. Familiarity with machine learning and SHM is desirable. The application process involves submitting a CV, transcripts, and a motivation statement, followed by supervisor review and further instructions for formal application. Imperial College London is committed to equality, diversity, and inclusion, supporting a welcoming environment for all students.
9 months ago
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Collaborators (3)
M. H. Ferri Aliabadi
Imperial College London
Vincenzo Mallardo
Associate Professore
University of Ferrara
Massimiliano Marrazzo
Graduate Teaching Assistant (GTA)
Imperial College London
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