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Numerical investigation of vortex shedding modes of flow past two circular cylinders in side-by-side using immersed boundary method Liwei Song1,a, Songping Wu1,2,3,b 1School of Aeronautical Science and Engineering, Beihang University, Beijing, China 2Key Laboratory of Fluid Mechanics of Ministry of Education, Beihang University, Beijing, China 3National Laboratory for Computational Fluid Dynamics, Beijing, China asong@ase.buaa.edu.cn, bwusping@163bj.com Keywords: numerical simulation; computational fluid dynamics; vortex shedding mode; immersed boundary mthod Abstract.
The simulations are carried out using a ghost cell immersed boundary method which imposes the boundary condition through reconstruction of the local velocity field near the immersed boundary.
Anti-phase and in-phase vortex shedding modes were found to exist in the flow simulation.
These results of simulations were in agreement with phenomena observed in experiment and numerical results of previous researchers.

Three-dimensional computational fluid dynamics simulation Determination of computing parameters. 1.Outdoor meteorological parameters The site for simulation computation is Guangzhou city.
Material of tunnel masonry structures In this simulation computation, the tunnel masonry material is reinforced concrete with a thickness of 300 mm; the concrete’s thermophysical properties are as follows: 1.547 w/m2•℃ (coefficient of thermal conductivity), 0.00277 m2/h (coefficient of thermal diffusivity), 2500 kg/m3 (density), and 1170 J/kg•K (specific heat). 3.
Stratum temperature In this simulation computation, the object is sandy clay with a moisture content of 15 %, and its thermophysical parameters are as follows: 2.559 W/m•°C (thermal conductivity), 1.386 kJ/kg•°C (specific heat), 0.0037 m2/h (coefficient of thermal diffusivity), and 1780 kg/m3 (unit weight).
Convection heat transfer coefficient In this simulation, the computation was carried out according to a computing formula of a convection heat transfer coefficient generalized from engineering test data.
Numerical 3D simulation of a longitudinal ventilation system: Memorial tunnel case.

China ahuangxing19811015@163.com, bqianwei@ustb.edu.cn Keywords: Blast furnace, Wood bellow, Computational Fluid Dynamics, Numerical simulation, Liao dynasty Abstract.
There is no friction between the lid and box, and no leakage of air in the simulation process.
Numerical simulation for the blast effect In this section, the software FLUENT is applied to simulate the process at constant temperature.
And the simulation results are depicted in Fig.8.
With numerical simulation, the model can meet the requirement of drum wind in smelting.

The simulation revealed the results of airflow, particle trajectories and efficiency of a circulating filter.
The simulation result reveals that some particles were trapped by the circulating filter, as seen in the marked area, but most of the particles continued to flow and crash into the HDD cover.
Applying the cloud model [10] to predict the particle trajectory, together with our simulation based on the random walk available in the DPM, these can enhance the reliability of this research.
This simulation can be used as fundamental information for designing a higher efficiency circulating filter and for reducing particle contamination.
Sundaravadivelu, A numerical simulation of particle trajectory in thin hard disk drive, IEEE Trans.

The parameters for simulation are shown in Table 1.
Fluent fluid analysis and simulation practical tutorial [M].Beijing: People Post Press, 2010
Solid-liquid two-phase flow model and pressure characteristics simulation of abrasive flow machining [J].Chinese Mechanical Engineering, pp.17-19, April 2008
[9] G.J.Jiang, G.Z.Gao, H.Wen.Diesel fuel injector flow within the three-dimensional numerical simulation [J].Nanchang University Journal, pp.13-16, January 2008
Simulation and Analysis of diesel-hole nozzle hole flow [J].Journal of internal combustion engine, pp.21-23, June 2006.

In our numerical simulation the heavy rain effects have been studied on the aerodynamic performance of 2D cambered NACA 23015 airfoil landing configuration with 20°.
We compared the simulation results the previous experimental results.
The increase in lift coefficient in our simulation results is less than the experimental results.
While in our simulation the percentage decrease in lift coefficient reaches up to 14% for LWC 23 g/m3.
For our simulation the decrease in lift and increase in drag in heavy rain is less than the experimental results for NACA 23015 for rain rate of LWC 0, 12 and 23 g/m3 but the trends are similar.

Research the complex flow field of the ducted fan by numerical simulation to analyze its hover characteristics.
So this paper analyzes the hover characteristics of ducted fan with coaxial rotors by numerical simulation.
Computational Model and Numerical Simulation Simulation Model Fig.1 shows the computational model of ducted fan with coaxial rotors, whose propellers use the NACA 2412 as aerofoil and linear torsion is used.

Collection of selected, peer reviewed papers from the 2nd International Conference on Advances in Computational Modeling and Simulation (ACMS 2013), July 17-19, 2013, Kunming, China.

The papers are grouped as follows:
Chapter 1: Manufacturing Technology and Processes, Design, Modelling, Simulation and Mechanical Engineering;
Chapter 2: Robotic, Automation, Sensors, Detection and Monitoring Technologies;
Chapter 3: Development Elecrtonics, Networks, Information Technology and Algorithms in Systems Applications;
Chapter 4: Mechanics, Thermal and Dynamics Systems, Vibration, Noise, Applied Mechanics and Numerical Simulation Applications;
Chapter 5: Materials Science and Technology, Material Manufacturing Processes;
Chapter 6: Control System Modeling and Applications;
Chapter 7: Developments in Medical Technologies and Images Processing Technologies.

The 477 peer-reviewed papers are grouped into 12 chapters: Session One: Computational Mechanics and Applied Mechanics, Session Two: Mechanical Design, Session Three: Materials Science and Processing, Session Four: System Dynamics and Simulation, Session Five: PC Guided Design and Manufacture, Session Six: Other Related Topics, Session Seven: Computational Mechanics and Applied Mechanics, Session Eight: Mechanical Design, Session Nine: Materials Science and Processing, Session Ten: System Dynamics and Simulation, Session Eleven: PC-Guided Design and Manufacture, Session Twelve: Other Topics.