Coupling the lattice-Boltzmann and spectrin-link methods for the direct numerical simulation of cellular blood flow

2011 ◽  
Vol 68 (6) ◽  
pp. 767-781 ◽  
Author(s):  
Daniel A. Reasor ◽  
Jonathan R. Clausen ◽  
Cyrus K. Aidun
Keyword(s):  
Numerical Simulation ◽  
Blood Flow ◽  
Direct Numerical Simulation ◽  
Lattice Boltzmann

Direct Numerical Simulation by Three-Dimensional Lattice Boltzmann Method

2003 ◽  
Vol 2003 (0) ◽  
pp. 101
Author(s):  
Takeshi TSUCHIYA ◽  
Osamu TERASHIMA ◽  
Seiichiro IZAWA ◽  
Yu FUKUNISHI ◽  
Ao kui XIONG
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Three Dimensional ◽  
Dimensional Lattice ◽  
Boltzmann Method

scholarly journals Direct Numerical Simulation and Large Eddy Simulation on a Turbulent Wall-Bounded Flow Using Lattice Boltzmann Method and Multiple GPUs

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xian Wang ◽  
Yanqin Shangguan ◽  
Naoyuki Onodera ◽  
Hiromichi Kobayashi ◽  
Takayuki Aoki
Keyword(s):  
Numerical Simulation ◽  
Large Eddy Simulation ◽  
Direct Numerical Simulation ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Graphic Processing Units ◽  
Multiple Gpus ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Boltzmann Method

Direct numerical simulation (DNS) and large eddy simulation (LES) were performed on the wall-bounded flow atReτ=180using lattice Boltzmann method (LBM) and multiple GPUs (Graphic Processing Units). In the DNS, 8 K20M GPUs were adopted. The maximum number of meshes is6.7×107, which results in the nondimensional mesh size ofΔ+=1.41for the whole solution domain. It took 24 hours for GPU-LBM solver to simulate3×106LBM steps. The aspect ratio of resolution domain was tested to obtain accurate results for DNS. As a result, both the mean velocity and turbulent variables, such as Reynolds stress and velocity fluctuations, perfectly agree with the results of Kim et al. (1987) when the aspect ratios in streamwise and spanwise directions are 8 and 2, respectively. As for the LES, the local grid refinement technique was tested and then used. Using1.76×106grids and Smagorinsky constant(Cs)=0.13, good results were obtained. The ability and validity of LBM on simulating turbulent flow were verified.

Lattice Boltzmann for Turbulent Flows

2018 ◽  
Author(s):  
Sauro Succi
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
Turbulent Flows ◽  
Lattice Boltzmann ◽  
Turbulence Modeling ◽  
Grid Resolution ◽  
Subsequent Chapter ◽  
Main Ideas

This chapter presents the main ideas behind the application of LB methods to the simulation of turbulent flows. The attention is restricted to the case of direct numerical simulation, in which all scales of motion within the grid resolution are retained in the simulation. Turbulence modeling, in which the effect of unresolved scales on the resolved ones is taken into account by various forms of modeling, will be treated in a subsequent chapter.

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