Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Margheri, L.
Meldi, M.
Salvetti, M.V.
and
Sagaut, P.
2014.
Epistemic uncertainties in RANS model free coefficients.
Computers & Fluids,
Vol. 102,
Issue. ,
p.
315.
Hayase, Toshiyuki
2015.
Numerical simulation of real-world flows.
Fluid Dynamics Research,
Vol. 47,
Issue. 5,
p.
051201.
Combés, Benoit
Heitz, Dominique
Guibert, Anthony
and
Mémin, Etienne
2015.
A particle filter to reconstruct a free-surface flow from a depth camera.
Fluid Dynamics Research,
Vol. 47,
Issue. 5,
p.
051404.
Lasagna, D.
Fronges, L.
Orazi, M.
and
Iuso, G.
2015.
Nonlinear Multi-Time-Delay Stochastic Estimation: Application to Cavity Flow and Turbulent Channel Flow.
AIAA Journal,
Vol. 53,
Issue. 10,
p.
2920.
Lasagna, Davide
and
Tutty, Owen R.
2016.
Wall‐based reduced‐order modelling.
International Journal for Numerical Methods in Fluids,
Vol. 80,
Issue. 9,
p.
511.
Mons, V.
Chassaing, J.-C.
Gomez, T.
and
Sagaut, P.
2016.
Reconstruction of unsteady viscous flows using data assimilation schemes.
Journal of Computational Physics,
Vol. 316,
Issue. ,
p.
255.
Suzuki, Takao
and
Hasegawa, Yosuke
2017.
Estimation of turbulent channel flow at based on the wall measurement using a simple sequential approach.
Journal of Fluid Mechanics,
Vol. 830,
Issue. ,
p.
760.
Gao, X.
Wang, Y.
Overton, N.
Zupanski, M.
and
Tu, X.
2017.
Data-assimilated computational fluid dynamics modeling of convection-diffusion-reaction problems.
Journal of Computational Science,
Vol. 21,
Issue. ,
p.
38.
de Castro da Silva, Andre Fernando
and
Colonius, Tim
2017.
An EnKF-based Flow State Estimator for Aerodynamic Flows.
Mons, Vincent
Chassaing, Jean-Camille
and
Sagaut, Pierre
2017.
Optimal sensor placement for variational data assimilation of unsteady flows past a rotationally oscillating cylinder.
Journal of Fluid Mechanics,
Vol. 823,
Issue. ,
p.
230.
da Silva, Andre F.
and
Colonius, Tim
2018.
A Bias-aware EnKF Estimator for Aerodynamic Flows.
da Silva, Andre F. C.
and
Colonius, Tim
2018.
Ensemble-Based State Estimator for Aerodynamic Flows.
AIAA Journal,
Vol. 56,
Issue. 7,
p.
2568.
Yu, Hans
Jaravel, Thomas
Ihme, Matthias
Juniper, Matthew P.
and
Magri, Luca
2019.
Data Assimilation and Optimal Calibration in Nonlinear Models of Flame Dynamics.
Journal of Engineering for Gas Turbines and Power,
Vol. 141,
Issue. 12,
Yu, Hans
Juniper, Matthew P.
and
Magri, Luca
2019.
Combined state and parameter estimation in level-set methods.
Journal of Computational Physics,
Vol. 399,
Issue. ,
p.
108950.
Zhang, Xinlei
Gomez, Thomas
and
Coutier-Delgosha, Olivier
2019.
Bayesian optimisation of RANS simulation with ensemble-based variational method in convergent-divergent channel.
Journal of Turbulence,
Vol. 20,
Issue. 3,
p.
214.
Jahanbakhshi, Reza
and
Zaki, Tamer A.
2019.
Nonlinearly most dangerous disturbance for high-speed boundary-layer transition.
Journal of Fluid Mechanics,
Vol. 876,
Issue. ,
p.
87.
da Silva, Andre F. C.
and
Colonius, Tim
2020.
Flow state estimation in the presence of discretization errors.
Journal of Fluid Mechanics,
Vol. 890,
Issue. ,
Li, Yi
Zhang, Jianlei
Dong, Gang
and
Abdullah, Naseer S.
2020.
Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation.
Journal of Fluid Mechanics,
Vol. 885,
Issue. ,
De Marinis, Dario
and
Obrist, Dominik
2021.
Data Assimilation by Stochastic Ensemble Kalman Filtering to Enhance Turbulent Cardiovascular Flow Data From Under-Resolved Observations.
Frontiers in Cardiovascular Medicine,
Vol. 8,
Issue. ,
Zhang, Xin-Lei
Xiao, Heng
He, Guo-Wei
and
Wang, Shi-Zhao
2021.
Assimilation of disparate data for enhanced reconstruction of turbulent mean flows.
Computers & Fluids,
Vol. 224,
Issue. ,
p.
104962.