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Online since: August 2013
Authors: Cherng Shing Lin, Te Chi Chen
National Institute of Standards and Technology (NIST).This software provides a computational fluid dynamics (CFD) calculation method based on large eddy simulation (LES).The FDS can be used to simulate 3D fire scenarios, and is capable of more accurately estimating physical data, such as pressure, temperature, velocity, and flow of smoke at a fire site [4-8].
Room dimensions in the simulation model Room No.
The results of the simulation were similar to the actual fire site (Figure 4).
Until the simulation was completed at 1680 s, the CO concentration was maintained between 2000 and2500 ppm.
The simulation results were obtained in Room 20.
Room dimensions in the simulation model Room No.
The results of the simulation were similar to the actual fire site (Figure 4).
Until the simulation was completed at 1680 s, the CO concentration was maintained between 2000 and2500 ppm.
The simulation results were obtained in Room 20.
Online since: December 2014
Authors: Yao Lin Lin, Wei Yang, Radu Zmeureanu
Solar Performance of a Dome-covered House
Yaolin Lin1, a, Wei Yang1,b and Radu Zmeureanu2,c
1 Wuhan University of Technology, Wuhan, China
2Concordia University, Montreal, Canada
ayaolinlin@gmail.com, byangv1984@163.com, cradu.zmeureanu@concordia.ca
Keywords: Solar Energy, Thermal Model, Computer Simulation, Dome
Abstract.
The results of the model are also verified by simplified models and CFD model, which implemented in commercial software, as well as experimental measurements with Singh et al. [12] and simulation results from Luttman-Valencia [13].
The simulation on the annual weather data shows an average reduction of heating load is 92.9% in Montreal and 56.3% in Yellowknife.
The simulation results predicted significant reduction on the heating load of the house when a dome is used compared with the case of an unprotected house in Canada.
The results of the model are also verified by simplified models and CFD model, which implemented in commercial software, as well as experimental measurements with Singh et al. [12] and simulation results from Luttman-Valencia [13].
The simulation on the annual weather data shows an average reduction of heating load is 92.9% in Montreal and 56.3% in Yellowknife.
The simulation results predicted significant reduction on the heating load of the house when a dome is used compared with the case of an unprotected house in Canada.
Online since: December 2016
Authors: Jakub Curpek, Jozef Hraska
Simulation model of simple story office building was modeled in DesignBuilder simulation software platform, which it uses the EnergyPlus dynamic simulation engine to calculate outputs data.
Simulation program allows entering from 1 to 16 numbers of points on the curve.
Discharge coefficient of ventilation was set up at 0.5 during simulation process.
Hochenauer, Analysis of ventilation effects and the thermal behaviour of multifunctional façade elements with 3D CFD models, Energ.
Strachan, The simulation of photovoltaic-integrated façades, In: Proceedings of the International Building Performance Simulation Association Conference 1997, vol. 2, IBPSA, Prague, 1997, pp. 189-195
Simulation program allows entering from 1 to 16 numbers of points on the curve.
Discharge coefficient of ventilation was set up at 0.5 during simulation process.
Hochenauer, Analysis of ventilation effects and the thermal behaviour of multifunctional façade elements with 3D CFD models, Energ.
Strachan, The simulation of photovoltaic-integrated façades, In: Proceedings of the International Building Performance Simulation Association Conference 1997, vol. 2, IBPSA, Prague, 1997, pp. 189-195
Online since: April 2021
Authors: Md Tanbir Sarowar
Fattahi et al.[64] used aluminum nitride (AlN) to perform numerical simulations on a plate heat exchanger.
The geometry used for the simulation is illustrated in figure 1, which is based on experimental work done by [65].
The geometry is modeled using Ansys ICEM CFD software.
Commercial CFD software package FLUENT version 17.0 has been used for the simulation.
Monteiro, P.E.B. de Mello, Thermal performance and pressure drop in a ceramic heat exchanger evaluated using CFD simulations, Energy. 45 (2012) 489–496. https://doi.org/10.1016/j.energy.2012.02.012
The geometry used for the simulation is illustrated in figure 1, which is based on experimental work done by [65].
The geometry is modeled using Ansys ICEM CFD software.
Commercial CFD software package FLUENT version 17.0 has been used for the simulation.
Monteiro, P.E.B. de Mello, Thermal performance and pressure drop in a ceramic heat exchanger evaluated using CFD simulations, Energy. 45 (2012) 489–496. https://doi.org/10.1016/j.energy.2012.02.012
Online since: August 2013
Authors: Chao Qun Xiang, Wen Hua Guo, Jia Wen Zhang
Numerical simulation study on influence of wind barriers on the wind environment around bridge deck.
At present, the approach to obtain the aerodynamic coefficients mainly includes numerical simulation [[3] J.
The simulation of unsteady aerodynamic cross wind forces on trains.
In this paper, the effects of wind barriers on aerodynamic performance of train running on the bridge are numerically simulated based on the general Computational Fluid Dynamics (CFD) software FLUENT.
Computers & Fluids, 2000,29, 179-195. ], therefore three trains model including head train, middle train and rear train is used in the numerical simulation.
At present, the approach to obtain the aerodynamic coefficients mainly includes numerical simulation [[3] J.
The simulation of unsteady aerodynamic cross wind forces on trains.
In this paper, the effects of wind barriers on aerodynamic performance of train running on the bridge are numerically simulated based on the general Computational Fluid Dynamics (CFD) software FLUENT.
Computers & Fluids, 2000,29, 179-195. ], therefore three trains model including head train, middle train and rear train is used in the numerical simulation.
Online since: September 2013
Authors: Ya Mei Lan, Wen Hua Guo
Because it is necessary to minimize the computational domain to a minimum for computational reasons, key elements in the numerical simulation is the treatment of reflection from model structures such as a breakwater or sea wall.
In the paper, CFD software FLUENT is used as the foundation to develop the numerical wave flume.
Numerical simulation of progressive wave and standing wave was carried out to cheek if the module works well.
Numerical Simulation of Wave Impact on the Slab.
In the paper, CFD software FLUENT is used as the foundation to develop the numerical wave flume.
Numerical simulation of progressive wave and standing wave was carried out to cheek if the module works well.
Numerical Simulation of Wave Impact on the Slab.
Online since: July 2014
Authors: Shirosh Tissera, Tomas Lukas, Ante Munjiza, Fang Su
Irregular boundaries can be readily seen in CFD and DSMC by solving the Boltzmann Equation. [1][2][3]
In this paper, it is proposed that in MD simulations for irregular boundaries which can be described in equations (for instance High-order equations), the gradient descent algorithm could be utilized to determine the shortest distance between the boundary and an atom.
Irregular boundary has rarely been dealt with in MD simulation; the proposed approach offers a workable mechanism to be used to deal with any irregularly shaped curve provided they are described by an equation.
Simulation results justify the validity of the approach by showing that it can achieve small margin of error with fair calculation power.
Irregular boundary has rarely been dealt with in MD simulation; the proposed approach offers a workable mechanism to be used to deal with any irregularly shaped curve provided they are described by an equation.
Simulation results justify the validity of the approach by showing that it can achieve small margin of error with fair calculation power.
Online since: January 2018
Authors: Ridho Akbar, Aulia Siti Aisjah, Agoes Ahmad Masroeri, Nathanael Leon Gozali, Devina Permata Sari, Ii Munadhif
Numerical simulation use Matlab software.
Time sampling simulation is in ¼ second.
Various of simulation condition.
The result simulation can be seen in Figure 1b, 2b and 3b.
Stern, Estimating maneuvering coefficients using system identification methods with experimental , system-based, and CFD free-running trial data.
Time sampling simulation is in ¼ second.
Various of simulation condition.
The result simulation can be seen in Figure 1b, 2b and 3b.
Stern, Estimating maneuvering coefficients using system identification methods with experimental , system-based, and CFD free-running trial data.
Online since: November 2018
Authors: Gaius Chukwuka Nzebuka, Mufutau Adekojo Waheed
Numerical modeling and simulation of metal solidification is a powerful tool in predicting cast products macro-microscopic information before carrying out the actual casting.
The GCI method is based on Richardson extrapolation (RE) method and is an acceptable and a recommended method that has been evaluated over several hundred CFD cases [15].
The simulation includes liquid, solid as well as the mushy zone, hence, smooth transition among each zone is ensured. 2.
Reviews 47 (2002) 243-261 [6] L, Nastac, CFD modeling of macro-segregation and shrinkage during solidification of superalloy castings, ISIJ international 50 (12) (2010) 1829-1834
E, Procedure for Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications, J.
The GCI method is based on Richardson extrapolation (RE) method and is an acceptable and a recommended method that has been evaluated over several hundred CFD cases [15].
The simulation includes liquid, solid as well as the mushy zone, hence, smooth transition among each zone is ensured. 2.
Reviews 47 (2002) 243-261 [6] L, Nastac, CFD modeling of macro-segregation and shrinkage during solidification of superalloy castings, ISIJ international 50 (12) (2010) 1829-1834
E, Procedure for Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications, J.
Online since: March 2008
Authors: Mamtimin Gheni, Ying Hao Yu, Wei Jiang, Zhongyuan Lu
The macro-scale analysis are
conducted by using Finite Element Method(FEM) based on the Computational Fluid
Dynamics(CFD).
Finally the cavity flow simulations are conducted with different Re number.
The cavity flow simulation with different changeable viscosity and Reynolds number are conducted by considering the meso-macro multi scale analysis.
A.J.Chorin,Numerical Simulation of the Navier-Stokes Equations, Math.
Finally the cavity flow simulations are conducted with different Re number.
The cavity flow simulation with different changeable viscosity and Reynolds number are conducted by considering the meso-macro multi scale analysis.
A.J.Chorin,Numerical Simulation of the Navier-Stokes Equations, Math.