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Online since: September 2013
Authors: Tie Ying Li, Qing Xie Lv
Wind engineering research is mainly based on wind tunnel test, numerical simulation and field measured three ways.
Numerical simulation can simulate real wind environment, the structures and buildings is actual size calculation model, compared with wind tunnel test, he avoided the scale and the actual wind environment.
And scholars believe that the wind speed based on the monte carlo method, time history curves for wind vibration analysis has limitations, thus put forward is based on the interference and random simulation method based on structural response.
With the rapid development of computational fluid dynamics (CFD), numerical simulation technology to get more extensive application.
But due to the civil engineering structure is a blunt body shape, wound flow with separation, attached again, vortex shedding and other complex flow phenomenon, and the wind field simulation of Gao Lei are provided for the technology is not mature, so the CFD numerical simulation is not confined to form complex structures.
Numerical simulation can simulate real wind environment, the structures and buildings is actual size calculation model, compared with wind tunnel test, he avoided the scale and the actual wind environment.
And scholars believe that the wind speed based on the monte carlo method, time history curves for wind vibration analysis has limitations, thus put forward is based on the interference and random simulation method based on structural response.
With the rapid development of computational fluid dynamics (CFD), numerical simulation technology to get more extensive application.
But due to the civil engineering structure is a blunt body shape, wound flow with separation, attached again, vortex shedding and other complex flow phenomenon, and the wind field simulation of Gao Lei are provided for the technology is not mature, so the CFD numerical simulation is not confined to form complex structures.
Online since: June 2008
Authors: Wei Long Yin, Qi Jian Sun, Bo Zhang, Jing Cang Liu, Jin Song Leng
The simulation is carried out with the free stream velocity of 0.6 M, pressure of 1 bar, and air density
1.225 kg/m3 at 5
0 angle of attack by using FLUENT software.
CFD analysis of the wing in the high transonic speed shows that the morphing in chordwise can make a significant contribution to the critical mach number as shown in Fig.6.
CFD results indicated the maximum mach number reduces with the chord increasing.
CFD analysis of the wing in the high transonic speed shows that the morphing in chordwise can make a significant contribution to the critical mach number as shown in Fig.6.
CFD results indicated the maximum mach number reduces with the chord increasing.
Online since: September 2013
Authors: Li Li Wu, Ting Chen, Chuan Xu, Xiu Qing Wang
The size of this simulation area is 200 mm × 30 mm, as shown in Fig. 2.
The simulation area is divided by the software Gambit.
The Computational Fluent Dynamics (CFD) software Fluent is used to set the boundary conditions.
The standard k-ε model is used in the simulation.
After 5954 iterations, the simulation converges.
The simulation area is divided by the software Gambit.
The Computational Fluent Dynamics (CFD) software Fluent is used to set the boundary conditions.
The standard k-ε model is used in the simulation.
After 5954 iterations, the simulation converges.
Online since: October 2013
Authors: Zhe Zhang, Jin Jin Tian, Yong Gang Guo, Bing Bing Sun
System simulation
After being conducted components of the simulation, through the ethylene glycol import and export temperature and relations of flow rate, the air cooler and cold quantity recovery device will link up parts together composing system simulation model [8-9].
By analyzing the simulation result, it offers design reference for LNG refrigerated truck.
Simulation of LNG refrigerated truck’s cold energy recovery system, J.
Numerical Simulation of Header Construction of Plate-Fin Heat Exchanger, J.
CFD simulation on inlet configuration of plate-fin heat exchanger, J.
By analyzing the simulation result, it offers design reference for LNG refrigerated truck.
Simulation of LNG refrigerated truck’s cold energy recovery system, J.
Numerical Simulation of Header Construction of Plate-Fin Heat Exchanger, J.
CFD simulation on inlet configuration of plate-fin heat exchanger, J.
Online since: February 2011
Authors: Xiao Ming Qian, Heng Zhang, Zhi Min Lu, Yuan Bai
The Numerical Simulation of the Water Jet in Hydroentanglement
Heng Zhang 1, a, Xiaoming Qian 2, b Zhimin Lu 1, c and Yuan Bai1, d
1 School of textiles Tianjin Polytechnic University Tianjin, China
2 Key Laboratory Advanced Textile Composites Tianjin Polytechnic University, Tianjin, China
am-esp@163.com, bqianxiaoming@tjpu.edu.cn, c luzhimin19861220@yahoo.com.cn , d
Keywords: Hydroentanglement; Water Jet Needling; Spun Lace; Jet Pressure; Numerical Model; Nonwoven.
This paper simulation the water needle after the water jetting from the water needle plate in the different pressure (100bar, 60bar, 45bar, 35bar).
The dimension of the model was set according to the real spun lace machine; Fig 2 shows the CFD model, boundary conditions.
Mass conservation equation and momentum equation [6] is the basic equation in numerical simulation.
This paper Simulation the water needle after the water jetting from the Water needle plate in the different pressure (100bar, 60bar, 45bar, 35bar), the function of water jet directly influences the effect of way of fiber tangle, the numerical simulation to study water jet is good to the study of fiber tangles mechanism.
This paper simulation the water needle after the water jetting from the water needle plate in the different pressure (100bar, 60bar, 45bar, 35bar).
The dimension of the model was set according to the real spun lace machine; Fig 2 shows the CFD model, boundary conditions.
Mass conservation equation and momentum equation [6] is the basic equation in numerical simulation.
This paper Simulation the water needle after the water jetting from the Water needle plate in the different pressure (100bar, 60bar, 45bar, 35bar), the function of water jet directly influences the effect of way of fiber tangle, the numerical simulation to study water jet is good to the study of fiber tangles mechanism.
Online since: April 2018
Authors: Cristian Ciucă, Cosmin Ighisan, Bogdan Radu
The authors presented their work on a two-dimensional visco-plastic model, using User Define Functions (UDF) in a commercial CFD code (FLUENT).
This paper is an attempt to present a numerical model of material flow and temperature distribution using a commercial CFD code (FLUENT) applied to welding 6061 aluminium alloy, in a 2D domain (positioned at half of the thickness of the parts to be welded), based on Seidel-Reynolds model [5].
· Particle tracing simulation reveals that there is a small quantity of material, placed in contact with the welding tool pin, which adheres to it and participate to complete rotations around the tool rotation axis.
Long, A.P. by commercial fluid dynamics simulation.
This paper is an attempt to present a numerical model of material flow and temperature distribution using a commercial CFD code (FLUENT) applied to welding 6061 aluminium alloy, in a 2D domain (positioned at half of the thickness of the parts to be welded), based on Seidel-Reynolds model [5].
· Particle tracing simulation reveals that there is a small quantity of material, placed in contact with the welding tool pin, which adheres to it and participate to complete rotations around the tool rotation axis.
Long, A.P. by commercial fluid dynamics simulation.
Online since: May 2012
Authors: B. Lv, Y. L. Liu, W.L. Wei
Wei
Institute of Hydraulic Engineering ,Xi’an University of Technology,Xi’an, China
Liuyuling_2@126.com
Keywords: oxidation ditch; non-equal thickness diversion wall; numerical simulation; flow field
Abstract:Diversion wall can improve bend flow patterns in an oxidation ditch.
In this paper, a non-equal thickness diversion wall was proposed, and studied by numerical simulation method.
This paper focuses on a diversion wall of an oxidation ditch by the simulation method.
The flow field in the oxidation ditch is simulated by computational fluid dynamics (CFD).The simulated velocity field of the new shape of oxidation ditch diversion wall was compared with that of the common shape diversion wall under the same boundary conditions.
Conclusions The numerical simulation method is used to study the diversion wall body of oxidation ditch .the simulation results show that, the proposed non-equal thickness guiding wall can improve bend flow pattern, increase the bend flow velocity, improve the flow pattern on the exit section of the bend ; and also can effectively reduce the size of recirculation zone , improve the total channel velocity greater than 0.3m/s .
In this paper, a non-equal thickness diversion wall was proposed, and studied by numerical simulation method.
This paper focuses on a diversion wall of an oxidation ditch by the simulation method.
The flow field in the oxidation ditch is simulated by computational fluid dynamics (CFD).The simulated velocity field of the new shape of oxidation ditch diversion wall was compared with that of the common shape diversion wall under the same boundary conditions.
Conclusions The numerical simulation method is used to study the diversion wall body of oxidation ditch .the simulation results show that, the proposed non-equal thickness guiding wall can improve bend flow pattern, increase the bend flow velocity, improve the flow pattern on the exit section of the bend ; and also can effectively reduce the size of recirculation zone , improve the total channel velocity greater than 0.3m/s .
Online since: October 2010
Authors: Qing Chang Meng, Zhi Hong Zhang, Ju Bin Liu
Kunz[18-20], as representative, constructed a preconditioned, homogenous, multiphase, unsteady
Reynolds Averaged Navier-Stokes scheme (RANS), and developed a Computational Fluid Dynamics
(CFD) method to simulate the supercavitating flow.
Multiphase CFD modeling of developed and supercavitating flows[R], Supercavitating Flow, von Karman Institue, Brussels Belgium, 2001, 269-312
The numerical simulation of supercavitatoin around projectiles from subsonic to supersonic[J], Journal of Projectiles, Rockets, Missiles, and Guidance, 2009, 29, 5, 166-169(in Chinese)
Dynamic processes of supercavitation and computer simulation[R], Supercavitating Flow, von Karman Institue, Brussels Belgium, 2001, 239-268
Computer simulation of unsteady supercavitating flows[R], High Speed Body Motion in Water, Kiev, Ukraine, 1997, 225-234
Multiphase CFD modeling of developed and supercavitating flows[R], Supercavitating Flow, von Karman Institue, Brussels Belgium, 2001, 269-312
The numerical simulation of supercavitatoin around projectiles from subsonic to supersonic[J], Journal of Projectiles, Rockets, Missiles, and Guidance, 2009, 29, 5, 166-169(in Chinese)
Dynamic processes of supercavitation and computer simulation[R], Supercavitating Flow, von Karman Institue, Brussels Belgium, 2001, 239-268
Computer simulation of unsteady supercavitating flows[R], High Speed Body Motion in Water, Kiev, Ukraine, 1997, 225-234
Online since: July 2011
Authors: Hua Chen Pan, Xiao Qing Tian, Lei Wu
For liquid, a CFD method based on the well known SIMPLE scheme is used.
Efforts were made to accurately locate the particles paths through the hexahedral grid used by the liquid flow simulations.
The liquid phase flow is solved by a CFD solver using SIMPLE scheme.
Unsteady three-dimensional simulation of interactions between flow and two particles.
Simulation of particles released near the wall in a turbulent boundary layer.
Efforts were made to accurately locate the particles paths through the hexahedral grid used by the liquid flow simulations.
The liquid phase flow is solved by a CFD solver using SIMPLE scheme.
Unsteady three-dimensional simulation of interactions between flow and two particles.
Simulation of particles released near the wall in a turbulent boundary layer.
Online since: April 2014
Authors: Xu Feng Sun
Tap arrangement and azimuth
for the 1:100 scale wind simulation of the WERFL definition for the 1:100 model of Texas
building model test under exposure of 10th percentile.
Fig.2 also shows the face number that will be used later, the position of lines L1 and L2 will be used to compare the mean pressure results of the test and by CFD.
Summary Analysis on non-Gaussian property is necessary for the determination of peak factor, simulation of fluctuating wind pressure and design of cladding and local structures.
Sometimes for the designer, the intensity of non-Gaussian property may be more valuable than merely the division of non-Gaussian zones. 2) What is different from the statistical method is that, since it is originated from the turbulence mechanism, so based on the convenience and reliability of steady CFD simulation, it can be applied on different azimuths and different heights or aspect ratios for the building even when the experimental data is not available.
Wang: An exponential model for fast simulation of multivariate non-Gaussian processes with application to structural wind engineering.
Fig.2 also shows the face number that will be used later, the position of lines L1 and L2 will be used to compare the mean pressure results of the test and by CFD.
Summary Analysis on non-Gaussian property is necessary for the determination of peak factor, simulation of fluctuating wind pressure and design of cladding and local structures.
Sometimes for the designer, the intensity of non-Gaussian property may be more valuable than merely the division of non-Gaussian zones. 2) What is different from the statistical method is that, since it is originated from the turbulence mechanism, so based on the convenience and reliability of steady CFD simulation, it can be applied on different azimuths and different heights or aspect ratios for the building even when the experimental data is not available.
Wang: An exponential model for fast simulation of multivariate non-Gaussian processes with application to structural wind engineering.