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Flow over bluff bodies has multiple engineering applications and thus, has been studied for decades.
Experiments on the flow past a circular cylinder at low reynolds numbers,
D. J. Tritton, · 1959
Earlier work this paper cites.
The steady flow of a viscous fluid past a flat plate,
S. Dennis, J. Dunwoody, · 1966
Earlier work this paper cites.
Numerical solutions for steady flow past a circular cylinder at reynolds numbers up to 100,
S. Dennis, G.-Z. Chang, · 1970
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The development of the lift of an impulsively started elliptic cylinder at incidence,
S. Taneda, · 1972
Earlier work this paper cites.
Laminar flow past an abruptly accelerated elliptic cylinder at 45 incidence,
H. Lugt, H. Haussling, · 1974
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An approach to sensitivity analysis of computer models: Part i—introduction, input variable selection and preliminary variable assessment,
R. L. Iman, J. C. Helton, J. E. Campbell, · 1981
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Flow around the impulsively started elliptic cylinder at various angles of attack,
V. Patel, · 1981
Earlier work this paper cites.
Strouhal numbers of rectangular cylinders,
A. Okajima, · 1982
Earlier work this paper cites.
Low-reynolds-number flow past an elliptic cylinder,
K. Shintani, A. Umemura, A. Takano, · 1983
Earlier work this paper cites.
Numerical study and physical analysis of the pressure and velocity fields in the near wake of a circular cylinder,
M. Braza, P. Chassaing, H. H. Minh, · 1986
Earlier work this paper cites.
Flow around two elliptic cylinders in tandem arrangement (1986)
T. Ota, H. Nishiyama, · 1986
Earlier work this paper cites.
A finite-element study of the onset of vortex shedding in flow past variously shaped bodies,
C. Jackson, · 1987
Earlier work this paper cites.
Flow around an elliptic cylinder in the critical reynolds number regime (1987)
T. Ota, H. Nishiyama, Y. Taoka, · 1987
Earlier work this paper cites.
Flow regimes of unsteady laminar flow past a slender elliptic cylinder at incidence,
J. K. Park, S. O. Park, J. M. Hyun, · 1989
Earlier work this paper cites.
Numerical investigation of confined wakes behind a square cylinder in a channel,
A. Mukhopadhyay, G. Biswas, T. Sundararajan, · 1992
Earlier work this paper cites.
Simulations of the unsteady separated flow past a normal flat plate,
F. M. Najjar, S. Vanka, · 1995
Earlier work this paper cites.
Steady laminar forced convection from an elliptic cylinder,
S. D’alessio, S. Dennis, · 1995
Earlier work this paper cites.
Vortex dynamics in the cylinder wake,
C. H. Williamson, · 1996
Earlier work this paper cites.
Flow around circular cylinders; vol. i fundamentals,
M. Zdravkovich, · 1997
Earlier work this paper cites.
Unsteady flow past elliptic cylinders,
M. Nair, T. Sengupta, · 1997
Earlier work this paper cites.
An r-squared measure of goodness of fit for some common nonlinear regression models,
A. C. Cameron, F. A. Windmeijer, · 1997
Earlier work this paper cites.
Monte carlo and quasi-monte carlo methods,
R. Caflisch, · 1998
Cited alongside, same era.
Three-dimensional floquet instability of the wake of square cylinder,
J. Robichaux, S. Balachandar, S. P. Vanka, · 1999
Cited alongside, same era.
Unsteady viscous flow past an impulsively started oscillating and translating elliptic cylinder,
S. D’alessio, S. Dennis, P. Nguyen, · 1999
Cited alongside, same era.
A comparison of three methods for selecting values of input variables in the analysis of output from a computer code,
M. D. McKay, R. J. Beckman, W. J. Conover, · 2000
Cited alongside, same era.
Numerical simulation of the unsteady flow over an elliptic cylinder at different orientations,
H. Badr, S. Dennis, S. Kocabiyik, · 2001
Cited alongside, same era.
Global sensitivity indices for nonlinear mathematical models and their monte carlo estimates,
A novel spatial-temporal prediction method for unsteady wake flows based on hybrid deep neural network,
R. Han, Y. Wang, Y. Zhang, G. Chen, · 2019
Later among the works it cites.
Fast flow field prediction over airfoils using deep learning approach,
V. Sekar, Q. Jiang, C. Shu, B. Khoo, · 2019
Later among the works it cites.
Super-resolution reconstruction of turbulent velocity fields using a generative adversarial network-based artificial intelligence framework,
Z. Deng, C. He, Y. Liu, K. Kim, · 2019
Later among the works it cites.
Numerical simulation and neural network study using an upstream cylinder for flow control of an airfoil,
M. Zhang, Z. Zheng, Y. Liu, X. Jiang, · 2019
Later among the works it cites.
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems,
D. Zhang, L. Lu, L. Guo, G. E. Karniadakis, · 2019
Later among the works it cites.
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I. M. Sobol, · 2001
Cited alongside, same era.
Steady flow past an elliptic cylinder inclined to the stream,
S. Dennis, P. Young, · 2003
Cited alongside, same era.
Heat and fluid flow across a square cylinder in the two-dimensional laminar flow regime,
A. Sharma, V. Eswaran, · 2004
Cited alongside, same era.
Far-wake characteristics of two-dimensional flow past a normal flat plate,
A. K. Saha, · 2007
Cited alongside, same era.
The effects of axis ratio on laminar fluid flow around an elliptical cylinder,
Z. Faruquee, D. S. Ting, A. Fartaj, R. M. Barron, R. Carriveau, · 2007
Cited alongside, same era.
A. Saltelli, M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, S. Tarantola, Global sensitivity analysis: the primer, John Wiley & Sons, 2008
2008
Cited alongside, same era.
Effect of axis ratio on fluid flow around an elliptic cylinder—a numerical study,
S. K. Raman, K. Arul Prakash, S. Vengadesan, · 2013
Cited alongside, same era.
Uncertainty quantification in three dimensional natural convection using polynomial chaos expansion and deep neural networks,
S. Shahane, N. R. Aluru, S. P. Vanka, · 2019
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Leonardo da vinci’s laboratory: studies in flow,
M. Kemp, · 2019
Later among the works it cites.
S. Shahane, Numerical simulations of die casting with uncertainty quantification and optimization using neural networks, Ph.D. thesis, University of Illinois at Urbana-Champaign, 2019
2019
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Multiscale modeling meets machine learning: What can we learn?,
G. C. Peng, M. Alber, A. B. Tepole, W. R. Cannon, S. De, S. Dura-Bernal, K. Garikipati, G. Karniadakis, W. W. Lytton, P. Perdikaris, et al., · 2020
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Assessment of unsteady flow predictions using hybrid deep learning based reduced order models,
S. Bukka, R. Gupta, A. Magee, R. Jaiman, · 2020
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Deepcfd: Efficient steady-state laminar flow approximation with deep convolutional neural networks,
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Graph convolutional neural networks for body force prediction,
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Direct numerical simulation and artificial neural network modeling of heat transfer characteristics on natural convection with a sinusoidal cylinder in a long rectangular enclosure,
Y. M. Seo, K. Luo, M. Y. Ha, Y. G. Park, · 2020
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Application of machine learning to investigation of heat and mass transfer over a cylinder surrounded by porous media—the radial basic function network,
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Robust active flow control over a range of reynolds numbers using an artificial neural network trained through deep reinforcement learning,
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Optimization of solidification in die casting using numerical simulations and machine learning,
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Prediction of heat transfer distribution induced by the variation in vertical location of circular cylinder on rayleigh-bénard convection using artificial neural network,
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