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New Generation Safe Structures Through Self –Powered Embedded Nano Sensors

  • Full or part time
  • Application Deadline
    Tuesday, April 30, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

The main objective of this proposal is to develop a new generation safer and more reliable structures through self-monitoring and self-diagnosis using novel embedded self-powering nano-material triboelectric sensors. This will be achieved through the development of novel embedded nano-material sensors.

Structural catastrophes are still not a history. Some of these accidents especially when big civil engineering structures like bridges, buildings, aircrafts are involved can result in tragic consequences involving human lives loss, injuries, money loss and damage to the environment. Advanced and reliable methods for proper management and monitoring and dependable health diagnosis are still to be developed and deployed for most large and critical structures, used in our everyday life. The self-monitoring and self-diagnosis is a process where the structure, or part of it, acts as an intelligent sensor, which can give an alert if the structural health is compromised. The recent developments in nanomaterials and their use as sensors and the advances in monitoring methods and control systems can make the idea of smart and intelligent self-monitoring and self-diagnosing structures a reality. The project is looking to develop a novel generation of structures, which will be capable of vibration self-monitoring and self-diagnosis as a result of the incorporation of nanomaterials tribo-electric self generators and vibration sensors. This is a multydisciplinary project which involves knowledge and experience in different key areas of nano materials, structural vibrations and structural health monitoring and safety. The successful candidate is expected to gain and develop training, expertise and knowledge in the above mentioned areas.

If eligible please send a recent CV and the names of at least two referees to the supervisor Dr Irina Trendafilova .

Funding Notes

This is a three year fully funded scholarship which covers Home/EU tuition fees, and provides a tax free stipend of approximately £15,000 pa (subject to increase). International applicants will be considered, if financial evidence is provided that they are self funded or sponsored for the difference between Home/EU and international tuition fee.

To be eligible you must hold, or in the process of obtaining a Masters (MEng) or equivalent degree in Mechanical Engineering, with possible specialization in materials. Some experience with FE modelling and programming with Matlab is desirable.

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