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Chemistry Class

Research Projects

01

Projects

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01

SHM of smart FRP aircraft and spacecraft structures with integrated fibre optic sensors

The objective is to develop, manufacture and test TFBG sensors embedded in smart CFRP and GFRP composite structures with dimensions up to 1 m for damage assessment.

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02

Multi-physics modelling of smart FRP composites with integrated FBG and TFBG sensors

In this project, the DC will develop multi-physics numerical 3D FEM simulations to analyse the performance of single mode FBGs/TFBGs and their interaction with the surrounding FRP composite for SHM of wind turbine blades.

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SHM of aged FRP wind turbine blades for damage assessment and lifetime prediction

The aim of this PhD project is to analyse the effects of material ageing in FRP composites and to investigate new ultrasonic SHM systems based on sparse arrays of PZT transducers for damage assessment and RUL prediction.

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04

AI/ML data-driven GW tomography for in-service SHM of aerospace smart FRP composites

The DC will develop ultrasonic GW tomography by focusing on aerospace smart FRP composites with integrated sparse arrays of PZTs and AI data processing.

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ML vibration-based algorithms for damage diagnosis of smart FRP structures

The objective of this DC is to develop and assess ML data-driven random-vibration-based methods for robust and population-wide SHM of smart CFRP composite structures under uncertainty (material, manufacturing) and varying EOCs.

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Advanced numerical simulations for SHM of smart aerospace FRP composites

This DC will perform efficient multi-scale CUF-based FEM numerical simulations for the mechanical analysis of FRP composite laminates.

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07

Self-sensing smart FRP composites using CNT-doped thermoplastic materials

CNTs combine mechanical properties, electrical and thermal conductivity, with the potential for increased integration of functions (e.g., sensing, electromagnetic, electrical conductivity) into structural FRP components without the need of actuator devices.

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SHM of smart FRP composites using wireless RFID sensing technology
 

The aim of this project is to develop next-generation wireless SHM sensing devices for smart FRP composites tailored to aircraft structures and wind turbines.

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09

SHM of smart FRP composites using wireless RFID sensing technology

This DC will develop an online ML-based ultrasonic monitoring system for automated diagnosis of manufacturing defects typically occurring during the laid-up process (e.g., voids, debonding, ply wrinkling and porosity).

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10

Digital twins for the SHM of smart CFRP aircraft sandwich structures

This DC will develop a digital twin framework for probabilistic damage characterisation on an aircraft smart CFRP sandwich structure based on Bayesian networks for model updating and prognosis.

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11

Smart FRP spacecraft structures under cryogenic conditions
 

This DC will develop PZT sensor networks based on the TEmSAL smart layer technology for space applications.

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12

Hybrid digital-twins based on physics-constrained graph neural networks for composite space structures

The objective of this project is to develop methodology for hybrid digital twins that combine physics- based models (Finite-Element models) with physics-constrained graph neural networks (GNN).

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Featured Projects

01

Project Sky Guardian

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02

NextGen Fighter Jet Development

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03

Space Debris Removal Technology

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04

Hypersonic Missile Defense Systems

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05

Space Situational Awareness (SSA)

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06

Autonomous Drone Swarm Technology

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