Dr Angus Grandison

Senior Research Fellow

I am a Senior Research Fellow within the Fire Safety Engineering Group of the School of Computing and Mathematical Sciences at the University of Greenwich.

Qualifications

BSc (Hons) Physics, University of Bristol.
MSc Scientific and Engineering Software Technology, University of Greenwich.
PhD - 'Improving the regulatory acceptance and numerical performance of CFD based fire modelling software', University of Greenwich.

Awards

Co-authored a paper that won the Germanischer Lloyd (GL) COMPIT 2012 award.

Co-authored a paper that won the Royal Aeronautical Society's Written Paper Prize Gold Award 2006

Research / Scholarly interests

Computational Fluid Dynamics (CFD), Fire modelling, Multiphase flow modelling, fire suppression with water mist, algorithms, parallel processing, C++, visualisation, VRML

Recent publications

Article

Wang, Zhaozhi , Galea, Edwin R., Grandison, Angus, Ewer, John , Jia, Fuchen (2021), A coupled computational fluid dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains. Elsevier. In: , , , . Elsevier, Safety Science, 147: 105572 ISSN: 0925-7535 (Print), (doi: https://doi.org/10.1016/j.ssci.2021.105572) NB Item availability restricted.

Wang, Zhaozhi , Galea, Edwin R., Grandison, Angus, Ewer, John , Jia, Fuchen (2021), Inflight transmission of COVID-19 based on experimental aerosol dispersion data. Oxford University Press. In: , , , Inflight Transmission of COVID-19 Based on Aerosol Dispersion Dat. Oxford University Press, Journal of Travel Medicine, 28: taab023 (4) ISSN: 1195-1982 (Print), 1708-8305 (Online) (doi: https://doi.org/10.1093/jtm/taab023).

Grandison, Angus and , (2020), Determining confidence intervals, and convergence, for parameters in stochastic evacuation models. Springer Nature. In: , , , . Springer Nature, Fire Technology, 56 . pp. 2137-2177 ISSN: 0015-2684 (Print), 1572-8099 (Online) (doi: https://doi.org/10.1007/s10694-020-00968-0).

Grandison, Angus , Deere, Steven, Lawrence, Peter, Galea, Edwin Richard (2017), The use of confidence intervals to determine convergence of the total evacuation time for stochastic evacuation models. Elsevier Ltd.. In: , , , . Elsevier Ltd., Ocean Engineering, 146 . pp. 234-245 ISSN: 0029-8018 (Print), (doi: https://doi.org/10.1016/j.oceaneng.2017.09.047).

Grandison, A. , Cavanagh, Y., Lawrence, P. J., Galea, E. R. (2017), Increasing the simulation performance of large-scale evacuations using parallel computing techniques based on domain decomposition. Springer US. In: , , , . Springer US, Fire Technology, 53 (3) . pp. 1399-1438 ISSN: 0015-2684 (Print), 1572-8099 (Online) (doi: https://doi.org/10.1007/s10694-016-0645-8).

Monograph

Ewer, J. , Galea, E., Grandison, A., Patel, M. (2017), SMARTFIRE v4.4: technical reference manual. University of Greenwich. In: , , , . University of Greenwich, Greenwich, London, UK (doi: ).