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This study proposed a method to conduct multi-site simulation using the VSD model and the simulation results were plotted by cumulative frequency distribution curves.
This research proposed a method that several sites in a region are simulated simultaneously by a dynamic model and the simulation results are analyzed by the cumulative frequency distribution (CFD).
The simulated results were in accordance with the measurements(table 5), which meant that the VSD model and the input parameters could be applied for the simulation in the region in the future.
Fig .4 The BS CFD curve in 2100 when S deposition is reduced alone Fig .3 The BS CFD curve in 2020 when S deposition is reduced alone The sign which marks the deterioration of soil was usually set as BS<0.2.
Fig.5 The BS CFD of the soil in the region in 2020 when S and BC deposition is reduced simultaneously Fig.6 The BS CFD of the soil in the region in 2100 when S and BC deposition is reduced simultaneously The ratio of BS<0.2 can be seen obviously from Figures 5 and 6, and the control targets can be analyzed at different protection rates.

Computational fluid dynamics (CFD) is an excellent tool to study the cooling issues in data centres.
In the last decade, extensive research has been conducted to study thermal management in data centres using CFD [1-3].
A CFD analysis has been performed to provide detailed flow and thermal fields.
CFD Simulation A prototype data centre is modelled as an 8×3.2×6m3 enclosure located over a 60 cm deep under-floor plenum.
From CFD results, rack and CRAC inlet and outlet temperatures are obtained and the total exergy destruction in the airspace is calculated.

In order to solve the problem of the flow-induced vibration under high temperature and high pressure when opening or closing the steam trap, sleeve was designed and three-dimensional numerical simulation of the internal turbulent fluid field was performed by using Fluent of computational fluid dynamics software.
Steam Trap Internal Flow Field Simulation Flow characteristics and the outlet velocity distributions of steam trap were contrastively analyzed through numerical simulation method for adding flow-regulating sleeve or not in the valve.
Control equations of numerical simulation consist of continuity equation, Reynolds averaged N-S equation and the k-ε double equations based on the theory of isotropic eddy viscosity.
CFD software Fluent was applied to simulate the conditions as pressure drop 8 MPa. 3-D model of internal flow field in the valve was built depending on the different opening degrees to analyze their internal flow fields.
Numerical simulation of the internal turbulent fluid field was performed by using Fluent of the CFD software.

Flow behavior of gas and particles is predicted by the large eddy simulation of gas-second order moment of solid model (LES-SOM model) in the simulation of flow behavior in CFB.
Then the large eddy simulation of gas-second order moment of solid model (LES-SOM model) is established for the simulation of dense gas-solid flows.
(4) (5) (6) Computed results and anlysis The simulations are carried out with the CFD code M-FIX which previously is used to model the flow in fluidized beds.
There is a reasonable agreement between the experiment and the simulation results.
Large-Eddy Simulations of Turbulence.

Based on the computational fluid dynamics theory and gas outburst theory, this paper used the ANSYS CFX CFD code to model the gas diffusion after gas outburst.
Simulation Results and Analysis Space-time Diffusion of Explosion Danger Area after Gas Outburst.
The simulation results are shown in Fig. 4.
Simulation Results are shown in Fig. 5.
[16] Fujun Wang: Computational fluid dynamics analysis-CFD Principal and Application (Qinghua University press, Beijing, 2004).

In the logarithmic region results from numerical simulation overestimate T+.
"CFD modeling of heat transfer in turbulent pipe flows".
"Application of computational fluid dynamics (CFD) for nanofluids".
Turbulence Modeling for CFD.
"Direct numerical simulation of turbulent pipe flow".

The whole physical parameters field can be used to describe the raceway boundary precisely, but all of the physical parameter fields are obtained from numerical simulation so far and there isn’t a specific criterion to define the raceway boundary.
Recently, Toshihiko et al11) had tried to simulate the particles and gas flows in the raceway zone in a blast furnace of which dimension was almost the same as that of the commercial blast furnace using CFD+DEM.
The position of every particle can be obtained by this simulation and then the raceway zone can be determined
(4) Iso-contour of typical instantaneous coke particle velocity in particle velocity field At the same time, Toshihiko et al [11] calculated the instantaneous velocity of every particle through CFD+DEM, and then the raceway boundary was defined by the iso-contours of instantaneous coke particle velocity scalar.
All of the above methods of raceway boundary determination were based on numerical simulation.

Numerical analysis in SolidWorks Flow Simulation was applied to assess the effect of design parameters.
Computational fluid dynamics (CFD) modelling was used to analyse the internal flow field and propose optimisation strategies.
Other researchers studied the movement of heated air flows in a closed space [3], with CFD modelling taking into account the vortices which occur.
In [7], a simulation is presented of air distribution in indoor plant cultivation facilities using computational fluid dynamics (CFD) in order to quantitatively assess variation coefficients.
Simulation model for studying air flow through a filter cartridge Table 1.

The results provide a reference for experiment in water tunnel and the simulation model.
As a result, the numerical simulation of cavity flow develops quickly [4, 5, 6].
Simulation Result.
Tab.1 shows the data of the simulation.
Multi-phase CFD Analysis of Typical Cavitator for Supercavitating Underwater Vehicle [J].

Recently, CFD (Computational Fluid Dynamics) codes have been adapted for solving practical problems in automotive industry [1].
Fig. 1 shows the area-averaged gas temperature gT and heat transfer coefficient gh could be obtained from GT-POWER software simulation [10].
Numerical method The numerical simulations were carried out by commercial software package ABAQUS [11] and the finite element method was applied to solve the governing equations.
Dhaubhadel, "Reviews: CFD applications in automotive industry," ASME, J. of Fluid Engineering, Vol. 118 (1996), p. 647-653