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Wind load on complex-shape building, the wind tunnel test and numerical simulation were carried out.
Numerical simulation FLUENT CFD software was used to simulate wind flow patterns around complex-shape buildings.
The simulations are based on Reynolds-averaged Navier–Stokes equations (RANS) using the RNG-k- turbulence closure models.
The convergence criterion is set to 0.005 for all simulations.
The numerical simulation using the RNG k-turbulence model is a useful tool for the predictions of wind pressures on complex-shape buildings.

This article takes J2010 multi-impeller pre-oxidation reactor as an example for numerical simulation study.
Fig. 1 Structural sketch of pre-oxidation reactor 1-agitator assembly, 2-tank assembly, 3-impeller, 4- aeration system Numerical Simulation Two-phase flow in the tank of multi-impeller pre-oxidation reactor is simulated by CFD in order to verify whether the fluid dynamics status in the tank meets the design requirment or not, and to make comparison and verification of the numerical simulation results with water test results to provide basis of the optimization design for the parameters of the reactor [2].
No heat transfer throughout the simulation.
a) meshes of the reactor b) meshes of the agitator Fig. 2 Mesh generation result Simulation Results and Analysis Simulation of Gas Phase Dispersing in the Liquid Phase.
Numerical simulation of gas liquid flow in a stirred tank with a new multiple impeller.

Numerical simulation Mathematics model There are six physical parameters to description the flow field in field-model.
Simulation model This paper used the FDS (Fire Dynamics Simulator) [9] field simulation program, version: 5.4.3 Serial.
Fire Dynamics Simulator (FDS), is a computational fluid dynamics (CFD) model of fire-driven fluid flow.
Fig.2 shows the vertical view of simulation model and the detectors locations.
This numerical simulation provides a method to help them chose the optimum scheme.

So the study is focused on simulation of droplet spreading on rough surfaces.
Simulation helps to understand the behavior of droplets while spreading on various types of rough surfaces.
Simulation results can save the cost of experimentation to gain knowledge about these phenomena.
The simulations are run using time step of 110-06 second.
In all the cases discussed, the droplet spreading factor increases exponentially at the start of the simulation.

Meanwhile, the temperature distributions in the tunnel has been simulated by using the Computational Fluid Dynamics (CFD) software of ANSYS CFX.
In terms of the experiments and simulation above, the smoke flow characteristics were demonstrated.
In Fig.13, the experimental value and simulation value has certain error, and the reason is that the simulation based on an ideal condition which the wind speed in the tunnel does not naturally change with time, while the natural wind speed in the tunnel fluctuated over time in field experiments.
Therefore, the experimental value and the simulation value were in certain error.
T=720s T=960s Figure 14 Temperature contrasts of simulation value and experiment value 4 Conclusions The smoke is the major factor that affects safe evacuation for small fire source power of fire.

Numerical Simulation Research for the Optimization of the Wet Flue Gas Desulfurization Tower Shunli Fang a, Yiqing Du b, Suyi Huang, Wuqi Wen and Yi Liu State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan, China afshunli@gmail.com, byeeqing@hotmail.com Keywords: wet flue sintering gas desulfurization tower numerical simulation optimization Abstract.
Math and physical model Because we mainly focus on the study of the flow field, we use air instead of the smoke in the simulation.
Gao, Numerical simulation on resistance characteristic of large scale wet flue gas desulphurization spraying scrubber , Proceedings of the CSEE, 2008, 28(5): 28-33
Zhong, Numerical simulation of flow field in an empty spray column used for wet flue gas desulfuration, Energy research and utilization, 2003, 02: 10-12
David: Turbulence Modeling for CFD (DSW Industries, Californaia 1994)

ajccheng@nfu.edu.tw, bdreamlifeboy@gmail.com,c jjmiau@seed.net.tw Keywords: VAWT, Blade pitch control, Unsteady aerodynamics, Dynamic stall, CFD Abstract.
A three blades vertical axis wind turbine simulation is performed to study the unsteady aerodynamic characteristics with blade pitch control.
A two-dimensional unsteady turbulent numerical simulation is performed in this study.
Conclusions This study investigated the unsteady aerodynamic characteristics with fixed and variable blade pitch control models in a three blades vertical axis wind turbine simulation.
H., Dynamic Stall Regulation of the Darrieus Turbine, SAND83-7029 UC-261 (1983) [4] Lain S. and Osorio C., Simulation and evaluation of a straight-bladed Darrieus-type cross flow marine turbine, Journal of Scientific & Industrial Research, Vol. 69 (2010) p.906.

Numerical Simulation on Spreading Characteristic of Coach Fire Liang YI1,2,a, Jie CHEN1,b 1 Institute of Disaster Prevention Science and Safety Technology, Central South University, 410075, Changsha, China 2 Key Laboratory of Operation Safety Technology on Transport Vehicles, Ministry of Transport, PRC, 100088, Beijing, China ayiliang@mail.csu.edu.cn, b chenjie.20071007@163.com Keywords: coach fire; numerical simulation; heat release rate; temperature distribution.
Fire numerical simulation Model.
In this simulation the coach fire is caused by 1 Kg gasoline which spilt around the last but one row seats.
The influence of ventilation on fires were demonstrated in this simulation.
Numerical simulation on spreading characteristic of typical coach fire was performed by CFD means.

Computational fluid dynamics (CFD) has proved to be a useful tool for the reveal of fluid micro-motion and turbulent transportations.
The dynamic simulation of sludge settling processes with the speed of 105r/min can be described in Fig. 7.
With the increase of blade speed, the simulation results show that removal efficiency of the first-stage rotational flow grit chamber decreases gradually, which is consistent with experimental results to verify the reliability of simulation results.
Then the 3-D numerical simulation of the two-phase flow field and suspended solid concentration was studied.
Comparison between simulation data and experimental data showed a satisfactory agreement.

Many researchers have been involved with the CFD approach of oil flows inside pipes as Dunia [2] where interesting pressure and temperature profiles are extracted or as in other works [3-5] where they present mathematical models (as MPTT) in order to predict the crude oil rheological behavior.
Conclusions In the present paper the numerical study, simulation and estimation of crude oil flow inside T-junction channels took place.
[10] Araujo M., Neto S., Lima A., Luna F., Hydrodynamic study of oil leakage in pipeline vis CFD, Advances in Mechanical Engineering , ID 170178
[15] Benes L., Louda P., Kozel K., Keslerova R., Stigler J., Numerical simulations of flow through channels with T-junction, Applied Math. and Computation, 219 (2013) 7225-7235
[19] Phan H., Wen L., Zhang H., Numerical simulation and analysis of gas liquid flow in a T-junction micro channel, Advances in Mechanical Engineering, (2012), ID 231675