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Numerical Simulation of Radon Atmospheric Dynamic Diffusion from a Flat ground Uranium Tailings Impoundment Xiaoyong Peng1, a, Xin Zhang2, b, Shuai Huang3, c, Xusheng Chai4, d, and Lanxia Guo5, e University Of South China, Hengyang, Hunan, 421001, China apengxiaoyong@126.com, bzhangxin646218@163.com, chs2039@163.com, dchaixusheng@yeah.net, eguo_lanxia@163.com Keywords: Uranium Tailings Impoundment, Radon, Atmospheric Diffusion, Numerical Simulation Abstract: with a flat ground uranium tailings impoundment as the object of the paper, CFD technology was used to study the atmospheric dynamic diffusion characteristics and the evolution of time and space distribution of radon in the uranium tailings impoundment.
The numerical simulations about radon atmospheric diffusion in uranium tailings impoundment were almost the steady-state diffusion process at present, the literature[3, 4] studied a flat ground uranium tailings radon atmospheric diffusion and environmental effect and different heights of uranium tailings radon atmospheric diffusion and concentration distribution law by numerical simulation method; porous media model and CFD technology were used to analyze the effect of vegetation cover in uranium tailings beach surface on radon atmospheric diffusion in the literature[5].
Numerical Simulation Results and Analysis of Radon Atmospheric Dynamic Diffusion Process Times and Space Evolution Process of Radon Atmospheric Diffusion.
Numerical simulation of atmospheric diffusion of radon emitted from ground uranium tailings impoundment and environmental effects.
Numerical Simulation of Influence of Vegetation on Atmospheric Diffusion of Radon Emanating from Uranium Tailings Impoundment.

Lattice Boltzmann Method (LBM), which is based on the mesoscopic models, is a new CFD approach, and it has the congenital superiority and the inestimable development potential in the simulation of complex fluid flow.
The simulation results are consistent with the NASA experiment data.
Lattice Boltzmann Method (LBM) is a new kind of numerical simulation method.
Xu puts forward an optimal low-dispersion low-dissipation LBM schemes for computational aeroacoustics, and shows that LBM is superior to the other CFD methods[4].
In this paper, the simulation is carried out at the low Mach number (Ma=50/340=0.147).

A Computational Fluid Dynamics (CFD) modeling software (ANSYS Fluent) was applied for this purpose, which is an important and widely used tool for predicting complex flows [28-30].
Ineichen, Sidewall Effects in Flow Over a Backward Facing Step: Experiments and Numerical Simulations, Phys.
Nagano, Investigation of Turbulent Boundary Layer Over Forward-Facing Step via Direct Numerical Simulation, Int.
Wang, Direct Numerical Simulation of Turbulent Flow Through a Ribbed Square Duct, J.
Reeve, Numerical Simulation of Overflow at Vertical Weirs Using a Hybrid Level Set/VOF Method, Adv.

Optimal Design of Heating and Ventilation for Drying Room Based on Transient CFD Simulation Si Huang 1, a, Tiantian Ding 1, a, Chao Yan 2, b, Zisheng Wang 2,b 1School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China 510640 2Containerization Research Institute, CIMC, Shenzhen, China 518068 ahuangsi@scut.edu.cn, a897750930@qq.com, bchao.man@cimc.com, bzisheng.wang@cimc.com Keywords: Drying room; temperature field; mean age of air; energy-saving Abstract.
By means of simulation, it is possible to significantly shorten the drying time of the container corners, and to achieve the purpose of energy saving. 1.
The finite volume method, widely used in CFD, is adopted in this simulation.
Considering heating process is time-dependent, a transient simulation is performed in this work with 0.1s time step.

Of course, the complex flow geometry provides a very challenging problem for CFD.
Therefore, a precisely benchmarking effort is needed to validate the CFD results.
PIV, PLIF and CFD can be used together to obtain confident results.
While many other literatures focused on the development of numerical simulations in this field [6-10].
The obtained data shows the possibility of CFD validation and benchmarking.

Asfour and Gadi [3] demonstrated the CFD is useful to predict the wind-driven natural ventilation in buildings and compared the implementation of computational fluid dynamics (CFD) and Network models for airflow rate estimation.
Gan [6] investigated the buoyancy-driven natural ventilation of buildings by CFD methods.
In this paper, the authors numerically investigated the natural ventilation in a workshop with heat sources based on CFD method.
Sketch of workshop ( 1: air inlet opening; 2: air outlet opening; 3: workshop entrance; 4: heat sources) Numerical model and simulation method.
Realizable k−ε turbulent model was selected for the CFD calculation after several trial calculations and comparison to related experimental data.

Numerical simulation method is used to predict the curve in diagnosis model.
FEM method and CFD method is used to determined the curve in the modeling.
It indicates that their obvious simulation error under linear elastic model.
Fig. 5 shows simulation and experimental result of load-displacement curve.
Numerical simulation method is used to predict the curve in diagnosis model.

Numerical simulation of flow around power transmission multi-bundled conductors has been carried out.
We start with a description of a weak formulation of incompressible Navier-Stokes Equations. 2.2 CFD solution method In this paper, a two-dimensional six parallel transmission lines of 30-mm-diameter as is shown in Fig.1 is selected for numerical modeling.
CFD grid distribution around the transmission lines For the transmission line in the environment of the surrounding air flows, The Reynolds number around the lines is greater than the critical threshold.
An economical approach to model flow, model was adopted for the simulation calculation in the Fluent [9].
This suggests that the distance between lines will reduce greatly in the strong wind. 3.The result shows that the CFD model is able to accurately predict the both velocity and drag force of the long crossing transmission line.

One of the most promising ways to resolve the above problem is to use high-accuracy computational fluid dynamics (CFD) simulators of modes of gas mixture transmission through long, branched pipeline systems (CFD-simulator) [1].
Such CFD-simulators form the basis of computational kernel for Gas Distribution Discrepancy Computer Analytical System (CAS).
As noted above, the time interval of interest in numerical simulations of problem (1) is divided into time steps, 0,…, Nt.
References [1] Seleznev, V.E.: Numerical Simulation of a Gas Pipeline Network Using Computational Fluid Dynamics Simulators.
[2] Seleznev, V.E.: Numerical monitoring of natural gas distribution discrepancy using CFD-simulator.

Fouling resistance distribution along the membrane surface was obtained from the simulation.
During the past decades, CFD method has been extensively conducted to understand the mass transfer phenomenon in membrane fouling.
Madaeni et al.[6] used CFD simulations to investigate the local permeate and pressure distribution, as well as the influence of shear rate on membrane fouling in Micro-filtration.
One specific CFD simulation model was developed to couple the hydrodynamic and mass transfer governing equations.
Boundary condition and mesh in simulation Fig.1.