شماره ركورد كنفرانس :
1528
عنوان مقاله :
Generalized lattice Boltzmann equation with forcing term for computation of wall-bounded turbulent flows with using CUDA programming
عنوان به زبان ديگر :
Generalized lattice Boltzmann equation with forcing term for computation of wall-bounded turbulent flows with using CUDA programming
پديدآورندگان :
Moradalizadeh Pouria نويسنده , Jafari Saeed نويسنده , Rahnama Mohammad نويسنده , Jahanshahi Javaran Ebrahim نويسنده
كليدواژه :
Generalized lattice Boltzmann equation , Large eddy simulation , CUDA , Shear improved smagorinsky model , Channel flow , Turbulent flow
عنوان كنفرانس :
هفتمين كنفرانس ملي كاربرد CFD در صنايع شيميايي و نفت
چكيده لاتين :
In this paper we implement generalized lattice Boltzmann equation (GLBE) using
multiple relaxation times with forcing term. The implementation of LBM is on a GPU
(Graphic Processing Unit) platform using CUDA (Compute Unified Device
Architecture). In the present paper we accurately using a CUDA code of a lattice
Boltzmann solver for simulating turbulent flows. we present the combination of LBM
and CUDA for computing of turbulent channel flow for which large eddy simulation
(LES) was employed as a turbulence model and compare our results with the results of
direct numerical simulation (DNS). The sub grid scale (SGS) turbulence effects were
simulated through a shear-improved Smagorinsky model (SISM), which is capable of
predicting turbulent near wall region accurately without any wall function. Computations
were done for fully developed turbulent channel flow at Re 180 , based on channel
half-width and average friction velocity. It was concluded that using GPUs decrease the
cost and the time of computation which help us to solve many practical problems. The
defect of nowadays GPUs is that they are single precision.
شماره مدرك كنفرانس :
4472212