Projects per year
Personal profile
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.
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Dive into the research topics where Giuliano Allegri is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Next generation fibre-reinforced composites: a full scale redesign for compression (NextCOMP)
Trask, R. S., Eichhorn, S., Hamerton, I., Allegri, G. & Wisnom, M. R.
1/07/20 → 30/06/25
Project: Research
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AERO ROLLS-ROYCE UTC 2018
Hallett, S. R., Kawashita , L. F. & Allegri, G.
1/08/16 → …
Project: Research, Parent
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Probabilistic Assessment of Fatigue Delamination Growth in Fibre Reinforced Composite Laminates
1/05/10 → 1/08/11
Project: Research
Research output
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A route to sustainable aviation: a roadmap for the realization of aircraft components with electrical and structural multifunctionality.
Jones, C., Norman, P., Burt, G., Hill, C. A. P., Allegri, G., Yon, J. M., Hamerton, I. & Trask, R. S., 1 Dec 2021, In: IEEE Transactions on Transportation Electrification. 7, 4, p. 3032-3049 18 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile18 Downloads (Pure) -
Effects of Ferromagnetic & Carbon-Fibre Z-Pins on the Magnetic Properties of Composites
Chen, M., Zhang, B., Friedemann, S., Allegri, G. & Hallett, S. R., 3 May 2021, In: Composites Science and Technology. 207, 9 p., 108749.Research output: Contribution to journal › Article (Academic Journal) › peer-review
2 Citations (Scopus)17 Downloads (Pure) -
Embedding artificial neural networks into twin cohesive zone models for composites fatigue delamination prediction under various stress ratios and mode mixities
Zhang, B., Allegri, G. & Hallett, S. R., 22 Oct 2021, (E-pub ahead of print) In: International Journal of Solids and Structures. 17 p., 111311.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Datasets
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Z-pin high rate mode I and II experiments
Allegri, G. (Creator), Partridge, I. K. (Creator), Hallett, S. R. (Creator), Partridge, I. K. (Creator), Yasaee, M. (Creator), Cui, H. (Creator) & Pellegrino, A. (Creator), University of Bristol, 20 Apr 2017
DOI: 10.5523/bris.s7q6fmuv4vbs2mmoi96xwrwse, http://data.bris.ac.uk/data/dataset/s7q6fmuv4vbs2mmoi96xwrwse
Dataset
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In-situ CT gaps
Allegri, G. (Creator), Hallett, S. R. (Creator), Partridge, I. K. (Creator), Clegg, H. (Creator), Kratz, J. (Contributor), Hartley, J. W. (Creator), Zhang, B. (Creator), Melro, A. R. (Creator) & Galvez Hernandez, P. (Creator), University of Bristol, 20 Oct 2020
DOI: 10.5523/bris.cpunp7ml1s5t2owhutk6hj7gd, http://data.bris.ac.uk/data/dataset/cpunp7ml1s5t2owhutk6hj7gd
Dataset
Prizes
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CAME School Pump Primping Fund 2019
Zhang, Bing (Recipient), Allegri, Giuliano (Recipient) & Hallett, Stephen R (Recipient), 17 Jan 2019
Prize: Prizes, Medals, Awards and Grants
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Faculty of Engineering Pump Primping Fund 2021
Zhang, Bing (Recipient), Ivanov, Dmitry (Recipient), Friedemann, Sven (Recipient), Allegri, Giuliano (Recipient), Hallett, Stephen R (Recipient) & Backhouse, R. (Recipient), 21 Apr 2021
Prize: Prizes, Medals, Awards and Grants