2025

  1. Knowledge-integrated additive learning for consistent near-wall modelling of turbulent flows[J]. JFM Rapids, 2025, 1011: R1.
  2. Objective algorithms for identification of relevant dimensionless quantities[J]. Computer Methods in Applied Mechanics and Engineering, 2025, 440: 117922.
  3. A wall model for separated flows: embedded learning to improve a posteriori performance[J]. Journal of Fluid Mechanics, 2025, 1002: A3.


2024

  1. Large-eddy simulation-based shape optimization for mitigating turbulent wakes of a bluff body using the regularized ensemble Kalman method[J]. Journal of Fluid Mechanics, 2024, 1001: A31.
  2. Clustering dimensionless learning for multiple-physical-regime systems[J]. Computer Methods in Applied Mechanics and Engineering, 2024, 420: 116728.
  3. A data-driven distributed force model for wall-modeled large-eddy simulations of rough-wall turbulence[J]. Journal of Computational Physics, 2024, 514: 113241.


2023

  1. Strain self-amplification is larger than vortex stretching due to an invariant relation of filtered velocity gradients[J]. Journal of Fluid Mechanics, 2023, 955: A15.
  2. Composition of resolvents enhanced by random sweeping for large-scale structures in turbulent channel flows[J]. Journal of Fluid Mechanics, 2023, 956: A31.
  3. A cache-efficient reordering method for unstructured meshes with applications to wall-resolved large-eddy simulations[J]. Journal of Computational Physics, 2023, 480: 112009.


2022

  1. Artificial neural network based response surface for data-driven dimensional analysis[J]. Journal of Computational Physics, 2022, 459: 111145.
  2. Ensemble Kalman method for learning turbulence models from indirect observation data[J]. Journal of Fluid Mechanics, 2022, 949: A26.
  3. Wall-modeled large-eddy simulation of noise generated by turbulence around an appended axisymmetric body of revolution[J]. Journal of Hydrodynamics, 2022, 34(4): 533-554.


2021

  1. Stochastic dynamical model for space-time energy spectra in turbulent shear flows[J]. Physical Review Fluids, 2021, 6: 054602.
  2. Wall model based on neural networks for LES of turbulent flows over periodic hills[J]. Physical Review Fluids, 2021, 6: 054610.
  3. Acoustic Inversion for Uncertainty Reduction in Reynolds-Averaged Navier-Stokes-Based Jet Noise Prediction[J]. AIAA Journal, 2021, 60(4): 2407-2422.



2020

  1. Local modulated wave model for the reconstruction of space-time energy spectra in turbulent flows[J]. Journal of Fluid Mechanics, 2020, 886: A11.
  2. A simulation-based actuator surface parameterization for large-eddy simulation of propeller wakes[J]. Ocean Engineering, 2020, 199: 107023.
  3. Using machine learning to detect the turbulent region in flow past a circular cylinder[J]. Journal of Fluid Mechanics, 2020, 905: A10.


2019

  1. Wall-modeling for large-eddy simulation of flows around an axisymmetric body using the diffuse-interface immersed boundary method[J].Applied Mathematics and Mechanics-English Edition, 2019: 1-16.
  2. Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network[J]. Computers & Fluids, 2019, 195: 104319.
  3. Estimating lift from wake velocity data in flapping flight[J]. Journal of Fluid Mechanics, 2019, 868: 501-537.


2018

  1. Lattice Boltzmann simulations of high-order statistics in isotropic turbulent flows [J]. Applied Mathematics and Mechanics-English Edition, 2018, 39(1): 21-30. 
  2. Locomotion of a bioinspired flyer powered by one pair of pitching foils [J]. Physical Review Fluids, 2018, 3(1): 013102.  
  3. Stable formations of self-propelled fish-like swimmers induced by hydrodynamic interactions[J]. Journal of The Royal Society Interface, 2018, 15(147): 20180490.  
  4. Intermittent locomotion of a fish-like swimmer driven by passive elastic mechanism[J]. Bioinspiration & Biomimetics, 2018, 13(5): 056011.  
  5. The spanwise spectra in wall-bounded turbulence[J]. Acta Mechanica Sinica, 2018, 34(3): 452-461. 
  6. Lattice-Boltzmann lattice-spring simulations of two flexible fibers settling in moderate Reynolds number flows[J]. Computers & Fluids, 2018, 167: 341-358. 
  7. Multi-flexible fiber flows: A direct-forcing immersed boundary lattice-Boltzmann lattice-spring approach[J]. International Journal of Multiphase Flow, 2018, 99: 408-422.


2017

  1. Space-time correlations and dynamic coupling in turbulent flows[J]. Annual Review of Fluid Mechanics, 2017, 49: 51-70.
  2. Scaling of energy spectra in weakly compressible turbulence[J]. Acta Mechanica Sinica, 2017, 33(3): 500-507.
  3. Characteristics of space-time energy spectra in turbulent channel flows[J]. Physical Review Fluids, 2017, 2(8): 084609.
  4. Explicit role of viscosity in generating lift[J]. AIAA Journal, 2017: 3990-3994.


2016

  1. Self-propelled swimming of a flexible plunging foil near a solid wall[J]. Bioinspiration & biomimetics, 2016, 11(4): 046005.
  2. Large-eddy simulation of circular cylinder flow at subcritical Reynolds number: Turbulent wake and sound radiation[J]. Acta Mechanica Sinica, 2016, 32(1): 1-11.
  3. A large eddy simulation of flows around an underwater vehicle model using an immersed boundary method[J]. Theoretical and Applied Mechanics Letters, 2016, 6(6): 302-305.
  4. An experimental study of the effects of pitch-pivot-point location on the propulsion performance of a pitching airfoil[J]. Journal of Fluids and Structures, 2016, 60: 130-142.
  5. Self-propulsion of flapping bodies in viscous fluids: Recent advances and perspectives [J]. Acta Mechanica Sinica, 2016, 32(6): 980-990.


2015

  1. Evaluation of Lift Formulas Applied to Low-Reynolds-Number Unsteady Flows [J]. AIAA Journal, 2015, 53(1): 161-175.
  2. Lift enhancement on spanwise oscillating flat-plates in low-Reynolds-number flows [J]. Physics of Fluids, 2015, 27(6):061901.
  3. Numerical simulation of unsteady flows over a slow-flying bat[J]. Theoretical and Applied Mechanics Letters, 2015, 5: 5-8.
  4. Taylor's hypothesis in turbulent channel flow considered using a transport equation analysis [J]. Physics of Fluids, 2015, 27(2): 25111.
  5. Unsteady Thin-Airfoil Theory Revisited: Application of a Simple Lift Formula [J]. AIAA Journal, 2015, 53(6): 1492-1502.
  6. Lift enhancement by bats’ dynamically changing wingspan [J]. Journal of Royal Society Inerface, 2015, 12: 20150821.


2014
  1. Unsteady thin airfoil theory revisited: application of a simple lift formula, AIAA Journal, DOI: 10.2514/1.J053439(2014).
  2. Evaluation of lift formulas applied to low-Reynolds-number unsteady flows, AIAA Journal, DOI: 10.2514/1.J053042(2014).
  3. Flow-mediated interactions between two self-propelled flapping filaments in tandem configuration, Phys. Rev. Lett. 113:238105(2014).
  4. Conditionally Statistical Description of Turbulent Scalar Mixing at Subgrid-Scales, Flow Turbulence and combustion, Vol. 93 No. 1 : 125-140 (2014 ).
  5. How flexibility affects the wake symmetry properties of a self –propelled plunging foil, J.Fluid. Mech., 751:164-183(2014).
  6. Numerical study on hydrodynamic effect of flexibility in a self-propelled plunging foil, Computer & Fluids, 97: 1-20 (2014).
  7. Lift enhancement by dynamically changing wingspan in forward flapping flight, Physics of Fluids,26,061903(2014).
  8. Simulation of swimming of a flexible filament using the generalized lattice-spring lattice-Boltzmann method , Journal of Theoretical Biology, 349: 1-11(2014).
  9. An Improved Direct-Forcing Immersed Boundary Method for Fluid-Structure Interaction Simulations, Journal of Fluids Engineering-Transactions of the ASME, 136 (4) 040903 (2014).
  10. Lattice Boltzmann simulations of a pitch-up and pitch-down maneuver of a chord-wise flexible wing in a free stream flow, Physics of Fluids, 26 (2) 021902 (2014).

 

2013
  1. Parallel computing strategy doe a flow solver based on immersed boundary method and discrete stream-function formula, Computer and Fluids, 88 210-224 (2013).
  2. Pumping of water through carbon nanotubes by rotating electric field and rotating magnetic field, Appl. Phys. Lett, 103 143117 (2013).
  3. A lift formula applied to low-Reynolds-number unsteady flows, Phys. Fluids, 25 093604 (2013).
  4. Lattice Boltzmann simulation of sedimentation of a single fiber in a weak vertical shear flow, Phys. Fluid, 25 093302 (2013).
  5. Turbulent clustering of point patricles and finite-size particles in isotroical turbulence, Industrial & Engineering Chemistry Research, 52(33):11294-11301 (2013).
  6. Temporal decorrelations in isotropical turbulence, Phys. Rev. E, 88(2): 021001 (2013).
  7. A numerical study of a turbulent mixing layer and its generated Noise, Science China G, 56(6):1157-1164 (2013).
  8. A nonlinear model for the subgrid timescale experienced by heavy particles in large eddy simulation of isotropic turbulence with a stochastic differential equation, New Journal of Physics, 15:035011 (2013).
  9. Numerical simulation of drop oscillation in AC electrowetting, Science China G, 56 (2):383-394 (2013).
  10. Self-assembled supramolecular nanotube yarn ,Advanced Materials,25(41): 5875-5879（2013）.

 

2012
  1. Large-eddy simulation of Jer-in-hot-coflow burner operating in the oxygen-dilute combustion regime, Flow, Turbulence and Combustion, 89 (3):449-464 (2012).
  2. LES prediction of space-time correlations in turbulent shear flows, Acta Mech. Sinica 28 (4):993-998 (2012).
  3. Numerical simulation of a three-dimensional fish-like body with finlet, Commun. Comput. Phys. 11 (4):1323-1333 (2012).

2011
  1. Numerical simulation of a three-dimensional fish-like body with finlet, Communications in Computational Physics, accepted (2011).
  2. An immersed boundary method by the lattice Boltzmann approach in three dimensions with application, Computers & Mathematics with Applications, in press (2011).
  3. Anomalous scaling for Lanrangian velocity structure functions in fully developed turbulence, Physics Review E, 83  025301(R)(2011).
  4. An implicit relation between temperature and reaction rate in SLFM, Theoretical & Applied Mechanics Letters, 1(2011), 012003.
  5. Flow past two freely rotatable triangular cylinders in tandem arrangement, Journal of Fluids Engineering-Transactions of the ASME 133 (8):081202 (2011).

 

2010

1.      Effect of dissipation rate of mixture-fraction on solutions of SLFM, Physics Script, T142 (2010), 014048.

2.      Assessment of large-eddy simulation in capturing preferential concentration of heavy particles in isotropic turbulent flows, Physics Script, T142(2010), 014061.

3.      Small-scale turbulent fluctuations beyond Taylor’s frozen-flow hypothesis, Physics Review E, 81(2010), 065303 (R).

4.      Large-eddy simulation of flows past a flapping airfoil using immersed boundary method, Science China G, 53 (6) (2010), 1101-1108.

5.      Large-eddy simulation of turbulent-collision of heavy particles in isotropic turbulence, Physics of Fluids, 22 (5) (2010), 055106.

6.      An augmented method for free boundary problems with moving contact lines, Computers and Fluids, 39 (6) (2010), 1033-1040.

7.      Subgird scale fluid velocity time scales seen by inertial particles in large eddy simulation of particle-laden turbulence, International Journal of Multiphase Flow, 36 (5) (2010), 432-437.

2009

1.      Scale-similarity model for Lagrangian time correlations in isotropic and stationary turbulence, Physics Review E, 80 (6) (2009), 066313.

2.      A delay model for noise-induced bi-directional switching, Nonlinearity, 22 (12) (2009), 2845-2859.

3.      Effects of geometric shape on the hydrodynamics of a self-propelled flapping foil, Physics of Fluids, 21 (10) (2009), 103302.

4.      A smoothing technique for discrete delta functions with application to immersed boundary method in moving boundary simulation, JCP, 228 (20) (2009), 7821-7836.

5.      A kinematic subgrid scale model for large-eddy simulation of turbulence-generated sound, Journal of Turbulence, 10 (19) (2009), 1-14.

6.       An atomistic-continuum hybrid simulation of fluid flows over superhydrophobic surfaces, Biomicrofluidics 3(2) (2009), 022409.

7.      GD Jin, Turbulent collision of inertial particles: point-particle based hybrid simulations and beyond, International Journal of Multiphase Flow, 35 (9) (2009), 854-867.

8.      Space-time correlations of fluctuating velocities in turbulent shear flows, Physics Review E, 79 (4) (2009), 046316.

9.      Subgrid-scale contributions to Lagrangian time correlations in isotropic turbulence, Acta Mechanica Sinica, 25 (1) (2009), 45-49.

2008

1.      A pressure-correction method and its applications on an unstructured Chimera grid, Computers and Fluids, 37 (8) 993-1010 (2008).

2.      Single curved fiber sedimentation under gravity, Computers and Mathematics with applications, 55 (7) 1560-1567 (2008).

3.      Time correlations of pressure in isotropic turbulence, Phys. Fluids. 20 (2) 025105 (2008).

4.      Effects of subgrid-scale modeling on Lagrangian statistics in large-eddy simulation, J. Turbulence, 9 (8) 1-24 (2008).

5.      Prediction of space-time correlations by large eddy simulation, AIAA Aerospace Sciences Meeting and Exhibit, 7-10(2008).

2007

1.      Flows with inertia in a three-dimensional random fiber network, Chemical Engineering Communications 194 (3) 2007: 398-406.

2.      Aerodynamic performance of a corrugated dragonfly airfoil compared with smooth airfoils at low Reynolds numbers, AIAA-2007-0483.

3.      A dynamic coupling model for hybrid atomistic-continuum computations, Chemical Engineering Sciences, 62 (13) 1574-3679 (2007).

2006
  1. A constrained particle dynamics for continuum-particle hybrid method in micro- and nano-fluidics, Acta Mechanica Sinica 22 (6) 503-508(2006).
  2. Electro-osmotic flow and mixing in heterogeneous microchannels, Physical Review E 73 (5)056305(2006).
  3. Elliptic model for space-time correlations in turbulent shear flows, Physical Review E 73 (5) 2006: 055303.

Before 2005 (Click here)