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
Sheffield
S1 3JD
School of Mechanical, Aerospace and Civil Engineering
D105
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
Sheffield
S1 3JD
- Profile
-
Adam completed his PhD in the Blast and Impact Dynamics research group at the University of Sheffield 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
-
- Machine learning
- Complex blast loading
- Human injury prevention
- Structural response
- Computational modelling
- Publications
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Journal articles
- Non-parametric characterization of blast loads. International Journal of Protective Structures. View this article in WRRO
- The Direction-encoded Neural Network: A machine learning approach to rapidly predict blast loading in obstructed environments. International Journal of Protective Structures, 204141962311773-204141962311773. View this article in WRRO
- A branching algorithm to reduce computational time of batch models: application for blast analyses. International Journal of Protective Structures.
- Prediction of blast loading in an internal environment using artificial neural networks. International Journal of Protective Structures, 12(3), 287-314. View this article in WRRO
Conference proceedings papers
- 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. View this article in WRRO
- Prediction of blast loads using machine learning approaches. Earthquake Engineering and Dynamics for a Sustainable Future. Cambridge, UK, 14 September 2023 - 14 September 2023. View this article in WRRO
- 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. View this article in WRRO
Presentations
- I get by with a little help from my FREMs. BRE Innovation Park, Watford WD25 9JQ.
- Non-parametric characterization of blast loads. International Journal of Protective Structures. View this article in WRRO
- Research group