Use of Iterative Multi-parametric Design Enabling Tools for the Optimisation of Structural response and Seismic Behaviour
Self-funded PhD students only
School of Civil Engineering and Surveying
February and October
Applications accepted all year round
Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD studentship, to commence in February 2019 or October 2019. This PhD involves the optimisation of structural response and seismic behaviour through iterative multi-parametric design-enabling tools, and is supervised by Dr Peter Kelly, Dr Nikos Nanos and Dr Mehdi Rouholamin.
Thanks to advancements in generative design, software algorithms and robotic construction, our current processes will change in the next few years.
You'll make use of new computational tools and multi-parametric design and analysis software, giving you the opportunity to further explore potential structural response optimisation strategies. This project aims at exploring the suitability and applicability of multi-parametric design tools in the design and analysis of structures.
The work will include:
- use of Rhino design software, the Grasshopper plugin and the DIANA FEA solver
- assessing structures as per their structural response in terms of established damage indices as well as residual structural capacity and vulnerability
The project will make use of the Rhino design software and the Grasshopper plugin and the DIANA FEA solver as a base.
The examined structures will be assessed as per their structural response - both in terms of established damage indices, and the residual structural capacity and vulnerability. This will then inform an iterative progressing and refining process of existing design parameters.
On completion of the project, you'll have a deep knowledge in procedurally-generated design, and you'll have created the tools necessary to set up and oversee such methods for academic research and applied engineering.
If successful, you'll become part of a dynamic research team within the Structures team of the School of Civil Engineering and Surveying, able to call on the existing knowledge of the experienced and vibrant team of structural engineering academics.
Funding Availability: Self-funded PhD students only
PhD full-time and part-time courses are eligible for the UK Government Doctoral Loan (UK and EU students only).
Home/EU full-time students: £4,327 p/a*
Home/EU part-time students: £2,164 p/a*
International full-time students: £15,900 p/a*
International part-time students: £7,950 p/a*
*Fees are subject to annual increase
By Publication Fees 2019/2020
Members of staff: £1,610 p/a*
External candidates: £4,327 p/a*
*Fees are subject to annual increase
This project requires candidates with a suitable honours degree (or equivalent) in Civil Engineering and would be suitable for a candidate who has conducted prior research and work in structural analysis, with good knowledge of earthquake engineering and structural dynamics. A good coding/scripting background is highly desirable.
You'll need a strong drive to excel as a researcher, coupled with disciplined work habits. Training will be offered on FEM software including DIANA. A suitable MSc/MPhil/MEng degree with background in computer modelling is also desirable, or a good first degree from an internationally recognised university (depending upon chosen course, minimum second class or equivalent). This project is suitable for both home/EU and or International students.
Exceptionally, equivalent professional experience and/or qualifications will be considered. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.
Make an Enquiry
For administrative and admissions enquiries please contact firstname.lastname@example.org
How to apply
Informal enquiries are encouraged and can be made to Dr Nikos Nanos (Nikos.email@example.com), Dr David Begg (David.firstname.lastname@example.org) and Dr Laurie Clough (Laurie.email@example.com), quoting both the project code ACES4791020 and the project title.
You can also visit our How to Apply pages to get a better understanding of how the PhD application process works.