Publications

See my Google Scholar page for an up-to-date list of my research. Some highlighted publications listed below:

Pannell, J.J.. (2022), Surrogate modelling strategies for the prediction of near-field blast impulse, University of Sheffield. Link
Pannell, J.J. et al. (in press), Application of transfer learning for the prediction of blast impulse, International Journal of Impact Engineering.
Pannell, J.J. et al. (2022), A physics-informed regularisation procedure in neural networks: a blast engineering application, International Journal of Impact Engineering. Link
Pannell, J.J., Panoutsos, G., Cooke, S.B., Pope, D.J., Rigby, S.E., (2021), Predicting specific impulse distributions for spherical explosives in the extreme near-field using a Gaussian function, International Journal of Impact Engineering. Link
Dennis, A.A., Pannell, J.J., Smyl, D.J., Rigby, S.E., (2020), Prediction of confined blast loads using artificial neural networks, International Journal of Impact Engineering Link
Pannell, J.J. et al. (2019), Predicting near-field specific impulse distributions using machine learning, in “18th International Symposium on Interaction of the Effects of Munitions with Structures (ISIEMS2018), Panama City Beach, FL, USA”. Link

Pannell, J.J. (2020, September 4). A physics guided machine learning approach to understanding loading distributions from explosive events (Conference presentation). The Institution of Structural Engineers Young Researchers Conference, London, UK. Link

Arbabi, H., Pannell, J.J., Hincks, S., Punzo, G., (2020), Quantifying agglomeration productivity potential in long-term infrastructure planning, Productivity Insights Network. Link