Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Suzuki, Takao
2014.
POD-based reduced-order hybrid simulation using the data-driven transfer function with time-resolved PTV feedback.
Experiments in Fluids,
Vol. 55,
Issue. 8,
Yamamoto, Fujio
and
Suzuki, Takao
2014.
Hierarchy of Hybrid Unsteady-Flow Simulations Integrating Time-Resolved PIV/PTV with Unsteady CFD.
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.
Rezig, Sawsen
Toscano, Rosario
Rusaouën, Gilles
and
Lozano, Vincent
2015.
Fuzzy Kalman Filter for 3D Lagrangian Particle Tracking Using Multi-scale Bubble Detection.
Energy Procedia,
Vol. 78,
Issue. ,
p.
3078.
Vlasenko, Andrey
Steele, Edward C C
and
Nimmo-Smith, W Alex M
2015.
A physics-enabled flow restoration algorithm for sparse PIV and PTV measurements.
Measurement Science and Technology,
Vol. 26,
Issue. 6,
p.
065301.
Suzuki, Takao
and
Yamamoto, Fujio
2015.
Hierarchy of hybrid unsteady-flow simulations integrating time-resolved PTV with DNS and their data-assimilation capabilities.
Fluid Dynamics Research,
Vol. 47,
Issue. 5,
p.
051407.
Schneiders, Jan F. G.
Pröbsting, Stefan
Dwight, Richard P.
van Oudheusden, Bas W.
and
Scarano, Fulvio
2016.
Pressure estimation from single-snapshot tomographic PIV in a turbulent boundary layer.
Experiments in Fluids,
Vol. 57,
Issue. 4,
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.
de Castro da Silva, Andre Fernando
and
Colonius, Tim
2017.
An EnKF-based Flow State Estimator for Aerodynamic Flows.
Symon, Sean
Dovetta, Nicolas
McKeon, Beverley J.
Sipp, Denis
and
Schmid, Peter J.
2017.
Data assimilation of mean velocity from 2D PIV measurements of flow over an idealized airfoil.
Experiments in Fluids,
Vol. 58,
Issue. 5,
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.
Meldi, M.
and
Poux, A.
2017.
A reduced order model based on Kalman filtering for sequential data assimilation of turbulent flows.
Journal of Computational Physics,
Vol. 347,
Issue. ,
p.
207.
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.
Raffel, Markus
Willert, Christian E.
Scarano, Fulvio
Kähler, Christian J.
Wereley, Steven T.
and
Kompenhans, Jürgen
2018.
Particle Image Velocimetry.
p.
243.
da Silva, Andre F. C.
and
Colonius, Tim
2018.
Ensemble-Based State Estimator for Aerodynamic Flows.
AIAA Journal,
Vol. 56,
Issue. 7,
p.
2568.
Wang, Hong-Ping
Gao, Qi
Wang, Shi-Zhao
Li, Yu-Hang
Wang, Zhong-Yi
and
Wang, Jin-Jun
2018.
Error reduction for time-resolved PIV data based on Navier–Stokes equations.
Experiments in Fluids,
Vol. 59,
Issue. 10,
Callaham, Jared L.
Maeda, Kazuki
and
Brunton, Steven L.
2019.
Robust flow reconstruction from limited measurements via sparse representation.
Physical Review Fluids,
Vol. 4,
Issue. 10,