Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Inanc Senocak"'
Autor:
Inanc Senocak, Rey DeLeon
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 447 (2023)
Accurate turbulent inflow conditions are needed to broaden the application of the large-eddy simulation technique to predict winds around arbitrarily complex terrain. We investigate the concept of buoyancy perturbations with colored noise to trigger
Externí odkaz:
https://doaj.org/article/2d93208a5b964ef3a209746b42ee014c
Autor:
Ting-Hsuan Ma, Inanc Senocak
Publikováno v:
Boundary-Layer Meteorology. 187:567-590
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42ef38a952bd9a8f2009db591e0585db
https://doi.org/10.1007/s10546-023-00786-1
https://doi.org/10.1007/s10546-023-00786-1
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 149:247-261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35a815110d0fe98300ac20d08682bdc
https://doi.org/10.1002/qj.4405
https://doi.org/10.1002/qj.4405
Autor:
Inanc Senocak, Cheng-Nian Xiao
Publikováno v:
Journal of the Atmospheric Sciences. 79:205-225
Flow over a surface can be stratified by imposing a fixed mean vertical temperature (density) gradient profile throughout or via cooling at the surface. These distinct mechanisms can act simultaneously to establish a stable stratification in a flow.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e3a405cd079b415399a0b3adba34a71
https://doi.org/10.1175/jas-d-21-0063.1
https://doi.org/10.1175/jas-d-21-0063.1
Publikováno v:
The Canadian Journal of Chemical Engineering. 98:1211-1224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::415af5c43ef59f2d53e6c523e10e79f6
https://doi.org/10.1002/cjce.23697
https://doi.org/10.1002/cjce.23697
Autor:
Shamsulhaq Basir, Inanc Senocak
Publikováno v:
AIAA SCITECH 2022 Forum.
Several recent works in scientific machine learning have revived interest in the application of neural networks to partial differential equations (PDEs). A popular approach is to aggregate the residual form of the governing PDE and its boundary condi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2cc64a8b6b2db68c285392eb43d4680
https://doi.org/10.2514/6.2022-2353
https://doi.org/10.2514/6.2022-2353
Autor:
Inanc Senocak, Cheng-Nian Xiao
Publikováno v:
74th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3eb8f79c36f6f107d97ef0e21ec9cac
https://doi.org/10.1103/aps.dfd.2021.gfm.p0044
https://doi.org/10.1103/aps.dfd.2021.gfm.p0044
Autor:
Shamsulhaq Basir, Inanc Senocak
Physics-informed neural networks (PINNs) have been proposed to learn the solution of partial differential equations (PDE). In PINNs, the residual form of the PDE of interest and its boundary conditions are lumped into a composite objective function a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::764b3e2ef24d92a48b4e0255817e5c9f
http://arxiv.org/abs/2109.14860
http://arxiv.org/abs/2109.14860
Publikováno v:
AIAA Journal. 57:532-542
An inflow generation method for large-eddy simulations of wall-bounded turbulent flows is presented. The method builds upon the work of Munoz-Esparza et al. (“A Stochastic Perturbation Method to Ge...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9785453ab27e49bdf9f6c103424f5908
https://doi.org/10.2514/1.j057245
https://doi.org/10.2514/1.j057245