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christopher pain
christopher pain
Подтвержден адрес электронной почты в домене ic.ac.uk
Название
Процитировано
Процитировано
Год
Non-linear regimes of fluid flow in rock fractures
RW Zimmerman, A Al-Yaarubi, CC Pain, CA Grattoni
International Journal of Rock Mechanics and Mining Sciences 41, 163-169, 2004
5462004
Tetrahedral mesh optimisation and adaptivity for steady-state and transient finite element calculations
CC Pain, AP Umpleby, CRE De Oliveira, AJH Goddard
Computer Methods in Applied Mechanics and Engineering 190 (29-30), 3771-3796, 2001
3782001
Eastern Mediterranean tectonics and tsunami hazard inferred from the AD 365 earthquake
B Shaw, NN Ambraseys, PC England, MA Floyd, GJ Gorman, ...
Nature Geoscience 1 (4), 268-276, 2008
2962008
Verification and validation of a coarse grain model of the DEM in a bubbling fluidized bed
M Sakai, M Abe, Y Shigeto, S Mizutani, H Takahashi, A Viré, JR Percival, ...
Chemical Engineering Journal 244, 33-43, 2014
2542014
Model identification of reduced order fluid dynamics systems using deep learning
Z Wang, D Xiao, F Fang, R Govindan, CC Pain, Y Guo
International Journal for Numerical Methods in Fluids 86 (4), 255-268, 2018
2322018
Three-dimensional unstructured mesh ocean modelling
CC Pain, MD Piggott, AJH Goddard, F Fang, GJ Gorman, DP Marshall, ...
Ocean Modelling 10 (1-2), 5-33, 2005
2252005
Conservative interpolation between unstructured meshes via supermesh construction
PE Farrell, MD Piggott, CC Pain, GJ Gorman, CR Wilson
Computer methods in applied mechanics and engineering 198 (33-36), 2632-2642, 2009
2192009
A new computational framework for multi‐scale ocean modelling based on adapting unstructured meshes
MD Piggott, GJ Gorman, CC Pain, PA Allison, AS Candy, BT Martin, ...
International Journal for Numerical Methods in Fluids 56 (8), 1003-1015, 2008
2102008
Long lead-time daily and monthly streamflow forecasting using machine learning methods
M Cheng, F Fang, T Kinouchi, IM Navon, CC Pain
Journal of Hydrology 590, 125376, 2020
1862020
Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation
D Xiao, F Fang, C Pain, G Hu
International Journal for Numerical Methods in Fluids 79 (11), 580-595, 2015
1832015
A study of bubbling and slugging fluidised beds using the two-fluid granular temperature model
CC Pain, S Mansoorzadeh, CRE De Oliveira
International Journal of Multiphase Flow 27 (3), 527-551, 2001
1832001
Non-linear model reduction for the Navier–Stokes equations using residual DEIM method
D Xiao, F Fang, AG Buchan, CC Pain, IM Navon, J Du, G Hu
Journal of Computational Physics 263, 1-18, 2014
1782014
Non-intrusive reduced order modelling of the Navier–Stokes equations
D Xiao, F Fang, AG Buchan, CC Pain, IM Navon, A Muggeridge
Computer Methods in Applied Mechanics and Engineering 293, 522-541, 2015
1602015
A simple model for deviations from the cubic law for a fracture undergoing dilation or closure
S Sisavath, A Al-Yaarubi, CC Pain, RW Zimmerman
Thermo-Hydro-Mechanical Coupling in Fractured Rock, 1009-1022, 2003
1532003
Study on a large-scale discrete element model for fine particles in a fluidized bed
M Sakai, H Takahashi, CC Pain, JP Latham, J Xiang
Advanced Powder Technology 23 (5), 673-681, 2012
1502012
Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method
R Hu, F Fang, CC Pain, IM Navon
Journal of Hydrology 575, 911-920, 2019
1432019
How tall buildings affect turbulent air flows and dispersion of pollution within a neighbourhood
E Aristodemou, LM Boganegra, L Mottet, D Pavlidis, A Constantinou, ...
Environmental pollution 233, 782-796, 2018
1342018
A nonhydrostatic finite-element model for three-dimensional stratified oceanic flows. Part I: Model formulation
R Ford, CC Pain, MD Piggott, AJH Goddard, CRE De Oliveira, ...
Monthly Weather Review 132 (12), 2816-2831, 2004
1342004
A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications
D Xiao, F Fang, CC Pain, IM Navon
Computer Methods in Applied Mechanics and Engineering 317, 868-889, 2017
1202017
A reduced order model for turbulent flows in the urban environment using machine learning
D Xiao, CE Heaney, L Mottet, F Fang, W Lin, IM Navon, Y Guo, OK Matar, ...
Building and Environment 148, 323-337, 2019
1192019
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