PhD Research Studentships
Data-driven damage modelling of textile reinforced composites for strutural application
| Supervisors: | Haibao LIU and James BUSFIELD |
| Apply by: | 31 May 2024 |
| Start in: | September (Semester 1) |
Description
Design and maintenance efficiency has long been a critical consideration for composite materials and structures. The global transition to net zero aviation has further spurred the application of composite materials for civil structures, from ambient to extreme conditions, which can offer advances in developing resilient structures. Driven by this, efficient design and analysis tools are required for meeting the quickly increasing demand for composite materials and structures. Nevertheless, the majority of research efforts to date have been limited to trial-and-error designs, leading to sub-optimal design processes with unsatisfied structural performance, e.g., time consuming and inferior mechanical properties. Additionally, there has been significantly less progress in understanding the mechanical behaviour of composite materials subjected to specific conditions, e.g. high-strain rate.
The present project is therefore designed to address this challenge by developing a high-fidelity numerical tool to guide the design of composite materials and structures served in various conditions. The key novelty is the capability to integrate non-linear computational models with data-driven approaches to accurately capture the deformation mechanisms and damage behaviours of composite materials and structures.
This proposal aims to significantly improve the accuracy and efficiency of modelling the mechanical behaviour of composite materials subjected to various service conditions, by combining mechanistic modelling and deep learning methods.
Funding
Funded by: Queen Mary ResearchUK students only.
This studentship arrangement covers home tuition fees and provide an annual stipend for up to three years (currently set at the 2023/24 stipend rate of £20,622 pa)
Note that Queen Mary Research Studentships cover home-rated tuition fees only (See: www.welfare.qmul.ac.uk/money/feestatus/ for details)
Overseas applicants would be required to meet the difference between home and international tuition fees
Eligibility
- The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
- If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of 6.0 in Writing and 5.5 in all sections (Reading, Listening, Speaking).
- Candidates are expected to start in September (Semester 1).
- SEMS and Principal-funded studentships: this studentship arrangement covers home tuition fees and provides an annual stipend for up to three years (currently set at the 2023/24 stipend rate of £20,622 pa)
- Note that Queen Mary Research Studentships cover home-rated tuition fees only (See: www.welfare.qmul.ac.uk/money/feestatus/ for details)
- Overseas applicants would be required to meet the difference between home and international tuition fees
Contact
For informal enquiries about this opportunity, please contact Haibao LIU or James BUSFIELD.
Apply
Start an application for this studentship and for entry onto the PhD Mechanical Engineering part-time programme (Semester 1 / September start):
Please be sure to quote the reference "SEMS-PHD-584" to associate your application with this studentship opportunity.
| Related website: | https://www.sems.qmul.ac.uk/staff/h.liu | |
| SEMS Research Centre: | ||
| Keywords: | Machine Learning, Mechanical Engineering, Solid Mechanics, Polymers, Textiles |