Dazhi Yu
University of Florida
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Publication
Featured researches published by Dazhi Yu.
Progress in Aerospace Sciences | 2003
Dazhi Yu; Renwei Mei; Li-Shi Luo; Wei Shyy
Abstract The method of lattice Boltzmann equation (LBE) is a kinetic-based approach for fluid flow computations. This method has been successfully applied to the multi-phase and multi-component flows. To extend the application of LBE to high Reynolds number incompressible flows, some critical issues need to be addressed, noticeably flexible spatial resolution, boundary treatments for curved solid wall, dispersion and mode of relaxation, and turbulence model. Recent developments in these aspects are highlighted in this paper. These efforts include the study of force evaluation methods, the development of multi-block methods which provide a means to satisfy different resolution requirement in the near wall region and the far field and reduce the memory requirement and computational time, the progress in constructing the second-order boundary condition for curved solid wall, and the analyses of the single-relaxation-time and multiple-relaxation-time models in LBE. These efforts have lead to successful applications of the LBE method to the simulation of incompressible laminar flows and demonstrated the potential of applying the LBE method to higher Reynolds flows. The progress in developing thermal and compressible LBE models and the applications of LBE method in multi-phase flows, multi-component flows, particulate suspensions, turbulent flow, and micro-flows are reviewed.
Progress in Computational Fluid Dynamics | 2005
Dazhi Yu; Renwei Mei; Wei Shyy
The method of Lattice Boltzmann equation (LBE) is a kinetic-based approach for fluid flow computations. In LBE, the distribution functions on various boundaries are often derived approximately. In this paper, the pressure interaction between an inlet boundary and the interior of the flow field is analysed when the bounce-back condition is specified at the inlet. It is shown that this treatment reflects most of the pressure waves back into the flow field and results in a poor convergence towards the steady state or a noisy flow field. An improved open boundary condition is developed to reduce the inlet interaction. Test results show that the new treatment greatly reduces the interaction and improves the computational stability and the quality of the flow field.
Journal of Computational Physics | 2010
Dazhi Yu; Anthony J. C. Ladd
Abstract We describe an algorithm for simulating reactive flows in porous media, in which the pore space is mapped explicitly. Chemical reactions at the solid–fluid boundaries lead to dissolution (or precipitation), which makes it necessary to track the movement of the solid–fluid interface during the course of the simulation. We have developed a robust algorithm for constructing a piecewise continuous ( C 1 ) surface, which enables a rapid remapping of the surface to the grid lines. The key components of the physics are the Navier–Stokes equations for fluid flow in the pore space, the convection–diffusion equation to describe the transport of chemical species, and rate equations to model the chemical kinetics at the solid surfaces. A lattice-Boltzmann model was used to simulate fluid flow in the pore space, with linear interpolation at the solid boundaries. A finite-difference scheme for the concentration field was developed, taking derivatives along the direction of the local fluid velocity. When the flow is not aligned with the grid this leads to much more accurate convective fluxes and surface concentrations than a standard Cartesian template. A robust algorithm for the surface reaction rates has been implemented, avoiding instabilities when the surface is close to a grid point. We report numerical tests of different aspects of the algorithm and assess the overall convergence of the method.
Physical Review E | 2002
Renwei Mei; Dazhi Yu; Wei Shyy; Li-Shi Luo
Journal of Computational Physics | 2000
Renwei Mei; Wei Shyy; Dazhi Yu; Li-Shi Luo
International Journal for Numerical Methods in Fluids | 2002
Dazhi Yu; Renwei Mei; Wei Shyy
Physical Review E | 2008
Dazhi Yu; Sharath S. Girimaji; Anthony J. C. Ladd
Fluids 2000 Conference and Exhibit | 2000
Dazhi Yu; Renwei Mei; Wei Shyy
15th AIAA Computational Fluid Dynamics Conference | 2001
Renwei Mei; Dazhi Yu; Wei Shyy
Archive | 1999
Renwei Mei; Wei Shyy; Dazhi Yu; Li-Shi Luo