Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Pont-Vílchez, A.
Trias, F. X.
Revell, A.
and
Oliva, A.
2020.
Progress in Hybrid RANS-LES Modelling.
Vol. 143,
Issue. ,
p.
97.
Fang, Jian
Zheltovodov, Aleksandr A.
Yao, Yufeng
Moulinec, Charles
and
Emerson, David R.
2020.
On the turbulence amplification in shock-wave/turbulent boundary layer interaction.
Journal of Fluid Mechanics,
Vol. 897,
Issue. ,
Pont-Vílchez, A.
Trias, F. X.
Duben, A.
Revell, A.
and
Oliva, A.
2020.
Direct and Large Eddy Simulation XII.
Vol. 27,
Issue. ,
p.
457.
Huang, Tianlun
Diao, Simian
Yang, Zhimin
Huang, Zhigao
Zhang, Yun
and
Zhou, Huamin
2020.
Flow dynamics and heat transfer characteristics analysis for floatation nozzle using large eddy simulation and proper orthogonal decomposition method.
International Journal of Thermal Sciences,
Vol. 155,
Issue. ,
p.
106402.
Parmar, Basu
Peters, Eric
Jansen, Kenneth E.
Doostan, Alireza
and
Evans, John A.
2020.
Generalized Non-Linear Eddy Viscosity Models for Data-Assisted Reynolds Stress Closure.
Jin-ping, Li
Ma, Ming
and
Yan, Chao
2021.
Bayesian uncertainty analysis of SA turbulence model for backward-facing step simulations.
Journal of Physics: Conference Series,
Vol. 1786,
Issue. 1,
p.
012048.
Pont-Vílchez, Arnau
Duben, Alexey
Gorobets, Andrey
Revell, Alistair
Oliva, Assensi
and
Trias, F. Xavier
2021.
New Strategies for Mitigating the Gray Area in Delayed-Detached Eddy Simulation Models.
AIAA Journal,
Vol. 59,
Issue. 9,
p.
3331.
Eslami, G.
and
Karbalaei, A.
2021.
On the optimum conditions for baffle installation in the backward facing step flow for maximization of the baffle performance.
Thermophysics and Aeromechanics,
Vol. 28,
Issue. 6,
p.
771.
Huang, Yadong
Zhang, Desheng
and
Gu, Fadong
2021.
Amplification mechanism of perturbation energy in controlled backward-facing step flow.
Applied Mathematics and Mechanics,
Vol. 42,
Issue. 10,
p.
1479.
Yang, Dandan
He, Sida
Shen, Lian
and
Luo, Xianwu
2021.
Large eddy simulation coupled with immersed boundary method for turbulent flows over a backward facing step.
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,
Vol. 235,
Issue. 15,
p.
2705.
Zajec, Boštjan
Matkovič, Marko
Kosanič, Nejc
Oder, Jure
Mikuž, Blaž
Kren, Jan
and
Tiselj, Iztok
2021.
Turbulent Flow over Confined Backward-Facing Step: PIV vs. DNS.
Applied Sciences,
Vol. 11,
Issue. 22,
p.
10582.
Li, Haochen
Balachandar, S.
and
Sansalone, John
2021.
Large-eddy simulation of flow turbulence in clarification systems.
Acta Mechanica,
Vol. 232,
Issue. 4,
p.
1389.
Kim, Jungwoo
2021.
Effect of an initial boundary layer thickness on the turbulent flow over a backward-facing step.
JMST Advances,
Vol. 3,
Issue. 4,
p.
55.
Peters, Eric L.
Balin, Riccardo
Jansen, Kenneth E.
Doostan, Alireza
and
Evans, John A.
2022.
S-frame discrepancy correction models for data-informed Reynolds stress closure.
Journal of Computational Physics,
Vol. 448,
Issue. ,
p.
110717.
Ma, Xingyu
Tang, Zhanqi
and
Jiang, Nan
2022.
Experimental study of self-sustained spanwise streaks and turbulent mixing in separated shear flow.
International Journal of Heat and Fluid Flow,
Vol. 96,
Issue. ,
p.
109012.
Ma, Xingyu
Tang, Zhanqi
and
Jiang, Nan
2022.
Investigation of spanwise coherent structures in turbulent backward-facing step flow by time-resolved PIV.
Experimental Thermal and Fluid Science,
Vol. 132,
Issue. ,
p.
110569.
Jadidi, Mohammad
Param, Hanieh Khalili
Revell, Alistair
and
Mahmoudi, Yasser
2022.
Flow leakage and Kelvin–Helmholtz instability of turbulent flow over porous media.
Physics of Fluids,
Vol. 34,
Issue. 10,
Morita, J.
Mamori, H.
and
Miyazaki, T.
2022.
Direct numerical simulation of the backward-facing step turbulent flow controlled by traveling wave-like body force.
International Journal of Heat and Fluid Flow,
Vol. 95,
Issue. ,
p.
108964.
Trias, F. Xavier
Álvarez-Farré, Xavier
Alsalti-Baldellou, Àdel
Gorobets, Andrey
and
Oliva, Assensi
2023.
Jourabian, Mahmoud
and
Raeesi, Mehrdad
2023.
Turbulent forced convection flow of water-based nanofluids with temperature-dependent properties over backward-facing step channel with upwardly deflected downstream wall.
Numerical Heat Transfer, Part A: Applications,
p.
1.