Dr Giuliano Allegri
MSc, PhD
Current positions
Reader in Composite Structures
Department of Aerospace Engineering
Contact
Media contact
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Research interests
Giuliano’s research addresses four main themes: 1) the characterisation and numerical modelling of fracture and fatigue in fibre-reinforced composites, with particular emphasis on suppressing delamination via through-thickness reinforcement; 2) understanding and predicting the effect of the space environment on polymer-based materials; 3) the development of modelling tools based on probabilistic structural mechanics, such as the stochastic finite element method; 4) the aero-servo-elastic design of morphing aircraft structures.
Projects and supervisions
Research projects
Next generation fibre-reinforced composites: a full scale redesign for compression (NextCOMP)
Principal Investigator
Role
Principal Investigator
Description
High performance fibre-reinforced polymer composites are the current state-of-the-art for lightweight structures and their use is rising exponentially in a wide range of applications from aerospace to sporting goods. They…Managing organisational unit
Department of Aerospace EngineeringDates
01/07/2020 to 30/06/2025
AERO ROLLS-ROYCE UTC 2018
Principal Investigator
Role
Principal Investigator
Managing organisational unit
Department of Aerospace EngineeringDates
01/08/2016
Probabilistic Assessment of Fatigue Delamination Growth in Fibre Reinforced Composite Laminates
Principal Investigator
Managing organisational unit
Department of Aerospace EngineeringDates
01/05/2010 to 01/08/2011
Thesis supervisions
Publications
Recent publications
29/09/2021Numerical investigation of composites delamination under combined static tension and cyclic bending
1st Virtual ESIS TC4 Conference on Fracture of Polymers, Adhesives and Composites
A route to sustainable aviation: a roadmap for the realization of aircraft components with electrical and structural multifunctionality.
IEEE Transactions on Transportation Electrification
Effects of Ferromagnetic & Carbon-Fibre Z-Pins on the Magnetic Properties of Composites
Composites Science and Technology
Embedding artificial neural networks into twin cohesive zone models for composites fatigue delamination prediction under various stress ratios and mode mixities
International Journal of Solids and Structures
Measure of porosity in flax fibres reinforced polylactic acid biocomposites
Composites Part A: Applied Science and Manufacturing
Related people
Professor Stephen Hallett
Professor in Composite Structures
Department of Aerospace Engineering
Professor Ivana Partridge
Professor of Composites Processing
Department of Aerospace Engineering
Professor Fabrizio Scarpa
Professor of Smart Materials & Structures
Department of Aerospace Engineering
Dr Bing Zhang
Senior Research Associate
Department of Aerospace Engineering
Dr Antonio Melro
Research Fellow
Department of Aerospace Engineering