Zobrazeno 1 - 10
of 513
pro vyhledávání: '"C. C. Pain"'
Publikováno v:
Geoscientific Model Development, Vol 8, Iss 10, Pp 3421-3440 (2015)
An integrated method of advanced anisotropic hr-adaptive mesh and discretization numerical techniques has been, for first time, applied to modelling of multiscale advection–diffusion problems, which is based on a discontinuous Galerkin/control volu
Externí odkaz:
https://doaj.org/article/f2a8507e992c441db2a48b32dd00e9f0
Publikováno v:
ECMOR XVII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a311cdc39495ba5109227303640e0c6
https://doi.org/10.3997/2214-4609.202035153
https://doi.org/10.3997/2214-4609.202035153
Publikováno v:
ECMOR XVII.
Summary Predictions of production obtained by numerical simulation often depend on grid resolution as fine resolution is required to resolve key aspects of flow. Moreover, the controls on flow can depend on well location in a model. In some cases, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::058806f4f8649dbf599baf118dc69828
https://doi.org/10.3997/2214-4609.202035061
https://doi.org/10.3997/2214-4609.202035061
Numerical solution of the equations governing multiphase porous media flow is challenging. A common approach to improve the performance of iterative non-linear solvers for these problems is to introduce artificial diffusion. Here, we present a mass c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2668109d8909e5ed5f64e10569362bc3
http://hdl.handle.net/10044/1/71681
http://hdl.handle.net/10044/1/71681
Recently accrued attention has been given to machine learning approaches for flooding prediction. However, most of these studies focused mainly on time-series flooding prediction at specified sensors, rarely on spatio-temporal prediction of inundatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cadfaaf52d84753969c8cfc4b0215f4d
http://hdl.handle.net/10044/1/73562
http://hdl.handle.net/10044/1/73562
Autor:
Y. Li, Jiang Zhu, W. Leng, Jie Zheng, J. Steppeler, L. Dong, L. Tao, X. Peng, Y. Wang, Fangxin Fang, C. C. Pain, Jianjun Li
Publikováno v:
ES242
ES239
Li, J.; Steppeler, J.; Fang, F.; Pain, C.C.; Zhu, J.; Peng, X.; Dong, L.; Li, Y.; Tao, L.; Leng, W.; Wang, Y.; Zheng, J.: Potential Numerical Techniques and Challenges for Atmospheric Modeling. In: Bulletin of the American Meteorological Society. Vol. 100 Boston, MA: AMS, 2019. 9, ES239-ES242. (DOI: /10.1175/BAMS-D-19-0031.1)
ES239
Li, J.; Steppeler, J.; Fang, F.; Pain, C.C.; Zhu, J.; Peng, X.; Dong, L.; Li, Y.; Tao, L.; Leng, W.; Wang, Y.; Zheng, J.: Potential Numerical Techniques and Challenges for Atmospheric Modeling. In: Bulletin of the American Meteorological Society. Vol. 100 Boston, MA: AMS, 2019. 9, ES239-ES242. (DOI: /10.1175/BAMS-D-19-0031.1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5eb512f2b4c6e8057d4b1aecd3c4a1
http://hdl.handle.net/10044/1/70753
http://hdl.handle.net/10044/1/70753
Autor:
Andrew G. Buchan, C. C. Pain
Publikováno v:
Annals of Nuclear Energy. 94:440-450
This article presents a new efficient space-angle subgrid scale formulation (SGS) for the space-angle phase-space discretisation of the Boltzmann transport equation (BTE). It applies both coarse and fine scale discretisations to the space-angle phase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa66d818c7bd645608b4a724541ee4c9
https://doi.org/10.1016/j.anucene.2016.03.012
https://doi.org/10.1016/j.anucene.2016.03.012
Publikováno v:
International Journal for Numerical Methods in Fluids. 82:997-1009
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::619dfa1928c10e7908ce80abab47a1f5
https://doi.org/10.1002/fld.4247
https://doi.org/10.1002/fld.4247
Autor:
C. C. Pain, Paul N. Smith, Andrew G. Buchan, R.P. Smedley-Stevenson, G. J. Gorman, Steven Dargaville, Mark A. Goffin
Publikováno v:
Annals of Nuclear Energy. 86:99-107
This paper presents the current capabilities of the radiation transport solver within FETCH, a coupled multi-physics code. The radiation transport component has been designed to solve the Boltzmann transport equation with a stable sub-grid scale fini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::055492c2acfaec9805fab5d1e2583d49
https://doi.org/10.1016/j.anucene.2015.02.014
https://doi.org/10.1016/j.anucene.2015.02.014