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The behaviour is studied using downburst wind field data obtained from a computational fluid dynamics (CFD) model.
Using a downburst wind field based on CFD analysis by Hangan et al. [4], Shehata [5] identified several critical downburst configurations that resulted in peak axial loads developed in the angle section members of a guyed lattice tower.
The downburst wind field used in the current study was developed through computational fluid dynamic (CFD) analysis by Hangan et al. [4].
For a complete description of the CFD model, the reader is referred to Hangan et al. [4], Shehata [5], and Shehata et al. [6].
“Downburst simulation.

Different flow characteristics were calculated in the simulation.
Numerical simulation is a reliable method to achieve the flow characteristics at nozzle orifice.
Numerical model for simulation Different configuration of swirl nozzle was used in simulation listed in table1.
In the simulation study, Injection pressure was 8MPa.
Eulerian multiphase module was used for the simulation of multiphase flows.

Early solve this coupled problem usually use a steady or quasi-steady method[5].J.C.Wang[6] used a simplified engineering approach by which the average pressure are used to compute the displacement at some key points to define the shape of the structure and the development of a multi-disciplinary CFD code to simulate Titan IV 7-segment solid rocket motor transient flowfield.
The large eddy simulation model is used in the flow field.
Effect of Nozzle Cavity on Resonance in Large SRM: Numerical Simulations,Journal of Propulsion and power, 19(2003) 374-384
[8] B.Wasistho, R.Fiedler, A.Namazifard, et al. 3-D Coupled Simulations of Flexible Inhibitors in the RSRM,AIAA 2005-3996
Pressure Oscillation in P230 SRM: Numerical Simulation,AIAA 2006-4423

The result shows that flow pattern from simulation has the same trend with experimental results.
The simulation flow pattern has the same trend with the experimental result.
The simulation flow pattern has the same trend with the experimental result.
Jeong, Large eddy simulation of turbulent flow in a T-junction, J.
Dakhil, CFD Simulations and Flow Analysis Through a T-Junction Pipe, International Journal of Engineering Science and Technology (IJEST), 4 (2012) 3392-3407

Numerical Simulation on Process of Flow and Heat Transfer in Upright Magnesium Reducing Furnace Feng Junxiao1,a, Cheng Qibo1,a and Yu Sijing2,b 1School of Mechanical Engineering, USTB, Beijing, China 2 Zhengzhou Magnesium Science and Technology Co.
Ltd, Henan, China a jxfeng@ustb.edu.cn, b yusijing@163.com Keywords: mathematical model; numerical simulation; upright magnesium reducing furnace; flow field; temperature field Abstract.
And numerical simulation is performed further with the commercial software FLUENT.
In order to study the impact of reducing pot standard on the product cost, the numerical simulation of different standards of reducing pot has been done.
“A Brief Introduction to Fluent-a General Purpose CFD Code,” Journal of Hydrodynamocs, vol.16, 2001, No.2, pp.254-258

I take advantage of the proposed three-dimensional fracture design analysis software to discrete fracture network model, applied to the horizontal well fracturing segment multibank instance, the optimal formation parameters obtained by fitting the history, the conclusion that the optimal production simulation by every half-length.
The best history matching parameter table Iterative times No-dimensional flow-capacity (Cfd) propant extent (m) resevior permeability (mD) reservior drainable area (k㎡) reservior aspect ratio (X/Y) fracture conductivity,kfwf (mD·m) 3 7.14459 229.6 0.18 0.946756 0.597397 295.231 Using the parameters in Table 1, historical fitting out, assuming the horizontal section length is 836m, fracturing 11 segments, and each segment lengths are equal, then the period length is 76m, the cluster distance is 24m, the value of the input data in many cases cracks, cracks and fixed dimensionless conductivity remains unchanged.
Combining with the production simulation after 5 years of production information table, make support fracture length and the corresponding relationship between cumulative yield curve, can be obtained by analyzing the optimal value.
History matching results with 4 micro-seismic monitoring of fracture length 268.5m big difference, after analyzing the results may be due to the following two points: ①Development status of the micro crack formation cannot be considered in the simulation, so the simulation and micro seismic interpretation has a certain gap. ②Micro earthquake for a collection recording crack signal, and can not fully reflect the final derivative underground sand filling pressure of fracture network.

Based on the finite volume method and the pressure-velocity coupling scheme of the SIMPLE algorithm with the standard k-ε turbulent model, the CFD software was used to solve the Navier-Stokes equations to calculate the pressure field in the bearing gap.
The approach Based on the finite volume method and the pressure-velocity coupling scheme of the SIMPLE algorithm with the standard k-ε turbulence model, this study utilized the CFD software, FLUENT, to solve the three dimensional Navier-Stokes equations to study the flow field of a partially porous aerostatic journal bearing for its physical behaviors such as pressure.
In order to simplify the numerical simulation, the following assumptions were made for the flow field: (1).
Simulation techniques Fig. 1 Cross sectional view of the spindle and the partially porous aerostatic journal bearings.

With analysis of mechanics of materials based on shut-in water hammer pressure and wellhead pressure while rescuing, and fluid mechanics of uncontrolled blowout based CFD, a rescue equipment for uncontrolled blowout in offshore drilling has been invented, and proposing a rescue method.
Therefore, the paper have studied the characteristics of offshore drilling blowout fluid for a single liquid phase and single phase gas flow based on CFD software, then draw a method and equipment for offshore drilling blowout rescue.
Blowout fluid strongly interfere with the part of the flow field above the seabed original wellhead device, and the lower part is small by the numerical simulation.
According to the numerical simulation, the blowout fluid mainly impact the velocity field and pressure field above the new rescue equipment, and it has little effect on the field below, so two choke valves are designed on the equipment above.

By means of numerical simulation, the guide wall shape optimization study, and combining with the engineering practice, this paper proposes a microbend flood guide wall of new type.
In this paper, we can forecast the effect of modified guide wall for Channel’s flow structure adjustment by using the method of numerical simulation research[4].
Reducing the effect of reflux area, and in data simulation showing the superiority.
It make water below the surface of the water to flow, stopped flow sedimentation in approaches, and also led to the current mainstream to stay away from such direction, finally simulation experiments prove that this new type of diversion wall of diversion and rectification effect is quite effective.
References [1] FamengWang, ZongfuFu, Jiacai Lv, Mingming Liu,Model tests on influence of combined construction of sluices and pump stations on estuarine navigationAdvances in Science and Technology of Water Resources (In Chinese),2012（3）：29-31 [2]Yonghai Yu,Hui Xu,Yongguang Cheng,CFD numerical simulation on modification of flow pattern with flow deflector at fore-bay of pumping station.Water resources and hydropower engineering(In Chinese) 2006-9,41-43 [3] JGJ305-2001《the overall lock design specification》In Chinese [4]Xiaoxu Li,,Yuan Zheng,Yuanting Mao,Xi Li, Chao Xue,Based on Fluent pumping station side of the pool rectifier forward numerical simulation and optimization(In Chinese),Water Conservancy Science and Technology and Economy,2011-4,1-2

According to the simulation results, the power unit is optimized.
Structure of the high-speed filling valve Flow Field Simulation.
Before the simulation, some basic parameters should be set according to the actual valve.
The simulation covers the entire flow range.
Based on the simulation of the pressure distribution and the analysis of the impact stress, the valve is optimized.