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Studies on Galloping of Iced Conductor based on Tower-Line Coupling System –Aerodynamic loads Hu Haojun, Wang Yuanhan, Hu Zidong School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan, Hubei, China haojunzy@sohu.com, yhwang0062@163.com, huzd20020307@126.com Keywords: transmission tower-line system, mechanic model, aerodynamic loads, CFD Abstract.
The computational fluid dynamics module (CFX) was used for the numerical simulation of the aerodynamic characteristics of iced conductor.
Introduction Studies on galloping mainly focus on the generation mechanism, wind tunnel test and numerical simulation of galloping.
In terms of wind tunnel simulation test of iced conductor galloping, the difficulty and costs would be too large to support, thus not being studied extensively.
As for numerical simulation, the following aspects are adopted, including the simulation by computational fluid dynamics, and the simulation of galloping of iced conductors by finite element method and superposition method of mode of vibration.

As a part of the research the numerical simulation of the process was carried out.
Through the simulation in any CFD-code, e. g.
Simulation setup General FE-code description.
Probably the reduction of time step can clear the temperature gradient pro simulation step in a run.
This fact strengths the obtained simulation results for the thermal problem, showed in Fig. 1, there the temperature values were in range 0,2 – 1°C pro simulation step.

arodrigues.iran@hotmail.com, bamico@ufrgs.br, cjasouza@furg.br, dfelipe.luz@ufrgs.br, erodbj1986@gmail.com, fgilson@dem.ufcg.edu.br Keywords: RTM, flow simulation, linear injection, pressure Abstract.
The non-dedicated commercial software commonly used to study CFD (Computational Fluid Dynamics) are Ansys CFX® and FLUENT, both from ANSYS and Abaqus CFD from Simula Abaqus, which are simulation tools for fluid mechanics and heat transfer problems, capable of working with complex geometries and simulate the resin’s advancement and curing within the mold.
In all simulations it was assumed an incompressible fluid flow through a porous medium.
To validate the simulation obtained with PAM-RTM, the results were compared with experimental data, as shown in Figs. 3, 4 and 5.
Amico: Numerical Simulation of Infiltration in Manufacturing Process for Composite RTM.

Figure 2 The flotation test apparatus diagram 2 modeling Computational Fluid Dynamics (referred to as CFD) uses discrete numerical methods and computer to conduct numerical simulation and analysis of viscid flow and viscous flow.
FLUENT is a powerful and flexible general-purpose computational fluid dynamics software, which can be used for engineering simulations at all levels of complexity [4].
It is a convenient and low-expensive method to simulate and analyze the complex flow field of hydraulic machinery by using CFD software [6].
Application of FLUENT on fine-scale simulation of windfield over complex terrain.
[6] Bin SONG,Jiangang LV,Guangjun ZHAO.Numerical Simulation on Gas-liquid Two-phase Flow in Fluid Coupling during Braking,IEEE 978-1-4244-5539-3/10, 2010.

Simulation of External Flow Field of The High-speed Train Numerical Model The front and rear of the train are simplified to streamline structure and the body to rectangular structure.
Distance between bottom of the train and the ground is reserved for the simulation of ground effect.
The hybrid meshes composed of tetrahedral meshes and hexahedral meshes are employed in the numerical simulation of this paper.
Numerical simulation of turbulent flow field around the high speed train. 
[7] Information on http://www.cfd-online.com/Wiki/K-epsilon_models [8] Sweetman, Brian J.

Simulation is done based on the standard k-ε flow model.
Results and Discussion Fig. 5 shows the CFD model with the temperature contour profiles at 5 MPa.
Fig. 5: CFD Model with temperature contour profile.
Meanwhile, Table 1 shows the data obtained from the simulation analysis.
Table I : Simulation results of initial pressure versus temperature.

For particular commercial kitchen, using CFD software to build model according to the actual operation condition uttermost, adopting the exhaust system of up-suction hood, the effect of exhaust airflow rate on working temperature,velocity,CO2 concentration at main site in commercial kitchen is studied.
The simulation results help design exhaust system.
[5] Xianting Li,Bin Zhao.Numerical Simulation of Indoor Airflow[M].Beijing: Mechanical industry press,2009.in chinese
Numerical simulation of smoke concentration residential kitchen[J].Journal of Xiangtan Normal University(Natural Science Edition),2008,30(1):72-75. in chinese
Numerical Simulation and test on smoke of kitchen[J].Journal of PLA University of Science and Technology,2006,7(2):153-156. in chinese.

This study investigates the characteristic of spatially averaged mean velocity profile and the flow pattern within urban canopy layer especially in pedestrian level using CFD technique.
Because of the complexities of experimental set-up, computational fluid dynamics (CFD) models have become a popular technique for investigation of flow pattern.
Numerical Simulation Simulation Setup.
Table 1 shows the geometry of the arrays used for this simulation.
The validation of current simulation work has shown in Abd Razak et al. [10].

Yan Ru-jian[6] simulated 2D regular wave and irregular wave by solving the Navier-Stokes equation in the CFD software Fluent with VOF method.
LIANG Xiu-feng,YANG Jian-min,LI xin,etc.Numerical simulation of irregular wave[J].Journal of Ship Mechanics.2010,14(5):481-486
Simulation of the Deformation and Burst of a Viscous Drop in Simple Shear Flow Through a Volume of Fluid Method[J].
Numerical simulation of wave-generation in a deep tank[J].
Numerical simulations of three-dimensional internal solitary waves within a numerical flume[J].

The Finite Volume Method (FVM) is a discretization method which is well suited for the numerical simulation of various types (elliptic, parabolic or hyperbolic, for instance) of conservation laws; it has been extensively used in several engineering fields.
Governing Equation of fluid motion in The integral conservation laws Following fundamental laws can be used to derive governing differential equations that are solved in a Computational Fluid Dynamics (CFD) study, below the variables are denoted by p, r, u, v, E and H which they are representing the pressure, density, Cartesian velocity components, total energy and total enthalpy respectively.
Blazek, CFD Principles and Applications, 2nd Ed.,” Switzerland, 2001 [3] J.
Anderson, Jr, CFD, the basics with applications, McGraw- Hill, 1995