Dr Adam Dennis (he/him)
School of Mechanical, Aerospace and Civil Engineering
Research Associate in Blast Engineering
a.a.dennis@sheffield.ac.uk
D105, Sir Frederick Mappin Building (Broad Lane Building)
Full contact details
Dr Adam Dennis
School of Mechanical, Aerospace and Civil Engineering
D105
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
91̽»¨
S1 3JD
School of Mechanical, Aerospace and Civil Engineering
D105
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
91̽»¨
S1 3JD
- Profile
-
Adam completed his PhD in the Blast and Impact Dynamics research group at the University of 91̽»¨ in early 2024.
His project, titled 'Machine Learning Tools for Blast Load Prediction in Obstructed Environments', explored a range of methods for developing rapid analysis tools that can assist with human injury prediction and structural damage estimations following the detonation of a high explosive.
He is now continuing this work within the group, whilst also acting as numerical modelling lead for commercial and academic research projects.
- Research interests
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- Machine learning
- Complex blast loading
- Human injury prevention
- Structural response
- Computational modelling
- Publications
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Journal articles
- . International Journal of Protective Structures.
- . International Journal of Protective Structures, 204141962311773-204141962311773.
- . International Journal of Protective Structures.
- . International Journal of Protective Structures, 12(3), 287-314.
Conference proceedings papers
- Experimental Validation of Viper Underwater Explosion CFD Solver. Proceedings of The 19th International Symposium for the Interaction of Munitions with Structures. Interaction of the Effects of Munitions with Structures (ISIEMS 19). Bonn, Germany, 9 December 2024 - 9 December 2024.
- A Direction-Encoded Machine Learning Approach for Peak Overpressure Prediction in Urban Environments. Proceedings of The 19th International Symposium for the Interaction of Munitions with Structures. Interaction of the Effects of Munitions with Structures (ISIEMS 19). Bonn, Germany, 9 December 2024 - 9 December 2024.
- MicroBlast - a benchmarking study of gramme-scale explosive trials. Proceedings of the 26th International Symposium on Military Aspects of Blast and Shock (MABS26). Wollongong, Australia, 4 December 2023 - 4 December 2023.
- Prediction of blast loads using machine learning approaches. Earthquake Engineering and Dynamics for a Sustainable Future. Cambridge, UK, 14 September 2023 - 14 September 2023.
- Towards the development of Machine Learning tools for blast load prediction. Proceedings of the 6th International Conference on Protective Structures (ICPS6). Auburn, AL, United States, 14 May 2023 - 14 May 2023.
Presentations
- Research group