Maximum principal stress theory.
Maximum shear stress theory.
Maximum shear strain theory.
Maximum strain energy theory.
Maximum shear strain energy theory.
Maximum principal stress theory.
Maximum shear stress theory.
Maximum shear strain theory.
Maximum strain energy theory.
Maximum shear strain energy theory.
Effect of lamination angle on maximum deflection of simply supported composit...RAVI KUMAR
In this project a composite laminated beam is studied with glass-epoxy and graphite-epoxy combination. The beam is composed of four layers of different combination of composite material (glass epoxy and graphite epoxy composite). The beam is simply supported at both the ends and is subjected to uniformly distributed load along the length. Transverse deflection is computed for different lamination angle (0^0-〖90〗^0) by using Euler- Bernoulli’s theory (or CLPT). Maximum transverse deflection analysis is carried out using derived analytical expressions. The research carried out in this project will enable to determine the beam strength due to bending loads. The importance of fibre reinforcement in the manufacturing of the beam is studied in terms of bending strength of the beam. MATLAB codes are generated to implement analytical expiations of the composite beam.
The main objective of the paper is to find out the lamination angle at which minimum deflection is obtained & to find out the effect of lamination angle on maximum transverse deflection of the beam.
Fluid flow visualization is a technique to actually see the flow patterns and get an insight in the possible theory to be applied. To see is to believe, it's said, hence this technique is very effective in understanding of fluid flow phenomena.
Mechanical Engineering : Engineering mechanics, THE GATE ACADEMYklirantga
THE GATE ACADEMY's GATE Correspondence Materials consist of complete GATE syllabus in the form of booklets with theory, solved examples, model tests, formulae and questions in various levels of difficulty in all the topics of the syllabus. The material is designed in such a way that it has proven to be an ideal material in-terms of an accurate and efficient preparation for GATE.
Quick Refresher Guide : is especially developed for the students, for their quick revision of concepts preparing for GATE examination. Also get 1 All India Mock Tests with results including Rank,Percentile,detailed performance analysis and with video solutions
GATE QUESTION BANK : is a topic-wise and subject wise collection of previous year GATE questions ( 2001 – 2013). Also get 1 All India Mock Tests with results including Rank,Percentile,detailed performance analysis and with video solutions
Bangalore Head Office:
THE GATE ACADEMY
# 74, Keshava Krupa(Third floor), 30th Cross,
10th Main, Jayanagar 4th block, Bangalore- 560011
E-Mail: info@thegateacademy.com
Ph: 080-61766222
GATE 2015, GATE EXAM, GATE ONLINE CLASSES, GATE COACHING, GATE MATERIALS , GATE BOOKS, GATE PDF BOOKS, THE GATE ACADEMY, Mechanical Engineering GATE MATERIALS
A Presentation About The Introduction Of Finite Element Analysis (With Example Problem) ... (Download It To Get More Out Of It: Animations Don't Work In Preview) ... !
Aerodynamic and Acoustic Parameters of a Coandã Flow – a Numerical Investigationdrboon
Coandã flows have been the study of aircraft designers primarily for the prospect of achieving higher lift coefficient wings. Recently the environmental problem of noise pollution attracted further interest on the matter. The approach used is numerical; the computations were made using a large eddy simulation (LES) technique coupled with a Ffowcs-Williams-Hawkings (FWH) acoustic analysis. The spectrum of the flow was measured at three locations in the vicinity of the ramp showing that the low frequency region is dominant. The findings may be used as reference for the development of quiet aircraft that use super-circulation, as it is the case with the Upper Surface Blown (USB) configurations.
Effect of lamination angle on maximum deflection of simply supported composit...RAVI KUMAR
In this project a composite laminated beam is studied with glass-epoxy and graphite-epoxy combination. The beam is composed of four layers of different combination of composite material (glass epoxy and graphite epoxy composite). The beam is simply supported at both the ends and is subjected to uniformly distributed load along the length. Transverse deflection is computed for different lamination angle (0^0-〖90〗^0) by using Euler- Bernoulli’s theory (or CLPT). Maximum transverse deflection analysis is carried out using derived analytical expressions. The research carried out in this project will enable to determine the beam strength due to bending loads. The importance of fibre reinforcement in the manufacturing of the beam is studied in terms of bending strength of the beam. MATLAB codes are generated to implement analytical expiations of the composite beam.
The main objective of the paper is to find out the lamination angle at which minimum deflection is obtained & to find out the effect of lamination angle on maximum transverse deflection of the beam.
Fluid flow visualization is a technique to actually see the flow patterns and get an insight in the possible theory to be applied. To see is to believe, it's said, hence this technique is very effective in understanding of fluid flow phenomena.
Mechanical Engineering : Engineering mechanics, THE GATE ACADEMYklirantga
THE GATE ACADEMY's GATE Correspondence Materials consist of complete GATE syllabus in the form of booklets with theory, solved examples, model tests, formulae and questions in various levels of difficulty in all the topics of the syllabus. The material is designed in such a way that it has proven to be an ideal material in-terms of an accurate and efficient preparation for GATE.
Quick Refresher Guide : is especially developed for the students, for their quick revision of concepts preparing for GATE examination. Also get 1 All India Mock Tests with results including Rank,Percentile,detailed performance analysis and with video solutions
GATE QUESTION BANK : is a topic-wise and subject wise collection of previous year GATE questions ( 2001 – 2013). Also get 1 All India Mock Tests with results including Rank,Percentile,detailed performance analysis and with video solutions
Bangalore Head Office:
THE GATE ACADEMY
# 74, Keshava Krupa(Third floor), 30th Cross,
10th Main, Jayanagar 4th block, Bangalore- 560011
E-Mail: info@thegateacademy.com
Ph: 080-61766222
GATE 2015, GATE EXAM, GATE ONLINE CLASSES, GATE COACHING, GATE MATERIALS , GATE BOOKS, GATE PDF BOOKS, THE GATE ACADEMY, Mechanical Engineering GATE MATERIALS
A Presentation About The Introduction Of Finite Element Analysis (With Example Problem) ... (Download It To Get More Out Of It: Animations Don't Work In Preview) ... !
Aerodynamic and Acoustic Parameters of a Coandã Flow – a Numerical Investigationdrboon
Coandã flows have been the study of aircraft designers primarily for the prospect of achieving higher lift coefficient wings. Recently the environmental problem of noise pollution attracted further interest on the matter. The approach used is numerical; the computations were made using a large eddy simulation (LES) technique coupled with a Ffowcs-Williams-Hawkings (FWH) acoustic analysis. The spectrum of the flow was measured at three locations in the vicinity of the ramp showing that the low frequency region is dominant. The findings may be used as reference for the development of quiet aircraft that use super-circulation, as it is the case with the Upper Surface Blown (USB) configurations.
CFD and Artificial Neural Networks Analysis of Plane Sudden Expansion FlowsCSCJournals
It has been clearly established that the reattachment length for laminar flow depends on two non-dimensional parameters, the Reynolds number and the expansion ratio, therefore in this work, an ANN model that predict reattachment positions for the expansion ratios of 2, 3 and 5 based on the above two parameters has been developed. The R2 values of the testing set output Xr1, Xr2, Xr3, and Xr4 were 0.9383, 0.8577, 0.997 and 0.999 respectively. These results indicate that the network model produced reattachment positions that were in close agreement with the actual values. When considering the reattachment length of plane sudden-expansions the judicious combination of CFD calculated solutions with ANN will result in a considerable saving in computing and turnaround time. Thus CFD can be used in the first instance to obtain reattachment lengths for a limited choice of Reynolds numbers and ANN will be used subsequently to predict the reattachment lengths for other intermediate Reynolds number values. The CFD calculations concern unsteady laminar flow through a plane sudden expansion and are performed using a commercial CFD code STAR-CD while the training process of the corresponding ANN model was performed using the NeuroShellTM simulator.
Transient three dimensional cfd modelling of ceilng fanLahiru Dilshan
Ceiling fans are used to get thermal comfort, especially in tropical countries. With the increment of the usage of air conditioners, the emission of CO2 is increased. But ceiling fans are a limited solution, that saves much energy compared to air conditioners. Ceiling fans generate a non-uniform velocity profile, so that, there is a non-uniform thermal environment. That non-uniform environment does not imply lower thermal comfort, that will give enough thermal comfort with low energy cost by air velocity. Hence, there will be difficulties of analysing with simple modelling techniques in that environment. So, to predict the performance of the ceiling fan required more accurate models.
The accurate model of a ceiling fan will generate complex geometry that makes difficulties for the simulation process and requires higher computational power. Because of that, there are several methods used to predict the performance of the ceiling fan using mathematical techniques but that will give an estimated value of properties in the surrounding.
Atmospheric turbulent layer simulation for cfd unsteady inlet conditionsStephane Meteodyn
The aim of this work is to bridge the gap between experimental approaches in wind tunnel testing and numerical computations, in the field of structural design against strong winds. This paper focuses on the generation of an unsteady flow field, representative of a natural wind field, but still compatible with CFD inlet requirements. A simple and “naïve” procedure is explained, and the results are successfully compared to some standards.
A New Two-Dimensional Analytical Model of Small Geometry GaAs MESFETIJMERJOURNAL
ABSTRACT : In this paper, a simple and exact analytical model for Small Geometry GaAs MESFET is developed to determine the potential distribution along the channel of the device. The model is based on the exact solution of two-dimensional Poisson’s equation in the depletion region under the gate. Then the obtained model is used to study the channel potential and threshold voltage of the device. Using the analytical model, the effect of the device parameter and bias conditions on performance of the device is investigated. The obtained results are graphically exhibited and discussed. In order to verification of the analytical results, TCAD device simulator is used and good accordance is observed.
On the dynamic behavior of the current in the condenser of a boost converter ...TELKOMNIKA JOURNAL
In this paper, an analytical and numerical study is conducted on the dynamics of the current in the condenser of a boost converter controlled with ZAD, using a pulse PWM to the symmetric center. A stability analysis of periodic 1T-orbits was made by the analytical calculation of the eigenvalues of the Jacobian matrix of the dynamic system, where the presence of flip and Neimar–Sacker-type bifurcations was determined. The presence of chaos, which is controlled by ZAD and FPIC techniques, is shown from the analysis of Lyapunov exponents.
Lid driven cavity flow simulation using CFD & MATLABIJSRD
Steady Incompressible Navier-Stokes equation on a uniform grid has been studied at various Reynolds number using CFD (Computational Fluid Dynamics). Present paper aim is to obtain the stream-function and velocity field in steady state using the finite difference formulation on momentum equations and continuity equation. Reynold number dominates the flow problem. Taylor’s series expansion has been used to convert the governing equations in the algebraic form using finite difference schemes. MATLAB has been used to draw to flow simulations inside the driven-cavity.
Threshold voltage model for hetero-gate-dielectric tunneling field effect tra...IJECEIAES
In this paper, a two dimensional analytical model of the threshold voltage for HGD TFET structure has been proposed. We have also presented the analytical models for the tunneling width and the channel potential. The potential model is used to develop the physics based model of threshold voltage by exploring the transition between linear to exponential dependence of drain current on the gate bias. The proposed model depends on the drain voltage, gate dielectric near the source and drain, silicon film thickness, work function of gate metal and oxide thickness. The accuracy of the proposed model is verified by simulation results of 2-D ATLAS simulator. Due to the reduction of the equivalent oxide thickness, the coupling between the gate and the channel junction enhances which results in lower threshold voltage. Tunneling width becomes narrower at a given gate voltage for the optimum channel concentration of 10 16 /cm 3 . The higher concentration in the source (N s ) causes a steep bending in the conduction and valence bands compared to the lower concentration which results in smaller tunneling width at the source-channel interface.
Calibrating a CFD canopy model with the EC1 vertical profiles of mean wind sp...Stephane Meteodyn
For some projects, applying the basic rules of EC1 is not sufficient, and it is required to get a more accurate estimation of the wind speed on the construction site. This can be done by using computational fluid dynamics codes which have the advantage, both to take into account of the terrain inhomogeneity and to calculate 3D orographic effects. In this way, the orography and roughness effects are coupled as they are in the real world. However, applying CFD computations must be in coherence with EC1 code. Then it is necessary to calibrate the ground friction for low roughness terrains as well as the drag force and turbulence production in case of high roughness lengths due to the presence of a canopy (forests or built areas). That is the condition for such methods to be commonly used and agreed by Building Control Officers. In this mind, TopoWind has been developed especially for wind design applications and can be a very useful, practical and objective tool for wind design engineers. The canopy model implemented in TopoWind has been calibrated in order to get the mean wind and turbulence profiles as defined in the EC1 for standard terrains. In this way, TopoWind computations satisfy the continuity between the EC1 values for homogeneous terrains and the more complex cases involving inhomogeneous roughness or orographic effects
Numerical simulations have been undertaken
for the benchmark problem in a Square cavity by using
computational fluid dynamics software. This work aims at
discussing the fundamental numerical and computational
fluid dynamic aspects which can lead to the definition of
the following meshing methods and turbulence models.
The meshes used for the simulation are hexahedral,
hexahedral cell with near wall refinement, tetrahedral
grid, polyhedral, tetrahedral with near wall refinement
and polyhedral mesh with prism layer cells based the near
wall thickness of Y+ less than one. The turbulence models
used for the simulation work are AKN K-Epsilon Low-Re,
Realizable K-Epsilon, Realizable K-Epsilon Two-Layer,
standard K-Epsilon, standard K-Epsilon Low-Re,
Standard K-Epsilon Two-Layer, V2F K-Epsilon,
SST(Menter) K-Omega, and Standard(Wilcox) K-Omega.
From these meshes and turbulence models, we will
conclude the suitable mesh and turbulence for the
recirculation flow by the grid independent test. These
analytical values of results are compared with reference
data which gives an optimization of experimental work.
Unsteady simulation was ran for all the Grid Independent
mesh with the SST k omega model with the time step of
0.01 sec for 40 seconds. The flow nature is studied with
and without the temperature for Reynolds number, 1000
and 10000.
Simulations Of Unsteady Flow Around A Generic Pickup Truck Using Reynolds Ave...Abhishek Jain
Above Research Paper can be downloaded from www.zeusnumerix.com
The research paper aims to replicate the wind tunnel test of General Motors pick-up truck using CFD analysis. The pickup is a blunt body and simulation reveals vortex shedding from the edges of the vehicle downstream. The unsteadiness of this phenomenon is seen in the oscillation of residue. The paper shows matching of velocity magnitude downstream of the vortex. Authors - Bahram Khalighi (GM, USA), Basant Gupta et al Zeus Numerix.
ANALYSIS OF VORTEX INDUCED VIBRATION USING IFSIJCI JOURNAL
Interaction of fluid structure (IFS) is one of the upcoming field in calculation and simulation of multiphysics problems. IFS play an important role in calculating offshore structures deformations caused by the vortex induced loads. The complexity interaction nature of fluid around the solid geometries pose the difficulties in the analysis, but IFS analysis technique overshadow the challenges. In this paper, Analysis is done by considering a cylindrical member which is similar to the part of offshore platform. The IFS analysis is done by using the commercial package ANSYS 14.0. The Vortex induced loads simulation with IFS is purely a mesh dependent, for that we have to simulate many problems for getting optimum grid size. Computational Fluid Dynamics (CFD) analysis of a two dimensional model have been done and the obtained results were validated with the literature findings. CFD analysis is performed on the extruded version of the two dimensional mesh and the results were compared with the previously obtained two dimensional results. Preliminary IFS analysis is done by coupling the structural and fluid solvers together at smaller time steps and the dynamic response of the structural member to the periodically varying Vortex induced vibrations (VIV) loads were observed and studied.
This project aims at simulating lid driven cavity flow problem using package MATLAB. Steady Incompressible Navier-Stokes equation with continuity equation will be studied at various Reynolds number. The main aim is to obtain the velocity field in steady state using the finite difference formulation on momentum equations and continuity equation. Reynold number is the pertinent parameter of the present study. Taylor’s series expansion has been used to convert the governing equations in the algebraic form using finite difference schemes.
Aerodynamic Analysis of Low Speed Turbulent Flow Over A Delta WingIJRES Journal
Delta wing has been a subject of intense research since decades due to decades due to inherent characteristics of generating increased nonlinear lift due to vortex dominated flows. Lot of work has been carried out in order to understand the vortex dominated flows on the delta wing. The delta wing is a wing platform in the form of a triangle. Aerodynamics of wings with moderate sweep angle is recognized by the aerospace community as a challenging problem. In spite of its potential application in military aircraft, the understanding of the aerodynamics of such wings is far from complete. In order to address this situation, the present work is initiated to compute the 3D turbulent flow field over sharp edged finite wings with a diamond shaped plan forms and moderate sweep angle. The detailed flow pattern and surface pressure distribution may further indicate the appropriate kind of flow control during flight operation of such wings. The flow field is computed using an in-house developed CFD code RANS3D.
Numerical Calculation of Solid-Liquid two-Phase Flow Inside a Small Sewage Pumptheijes
Based on a mixture multiphase flow model,theRNG k–εturbulencemodelandfrozen rotor method were used to perform a numerical simulation of steady flow in the internal flow field of a sewage pump that transports solid and liquid phase flows. Resultsof the study indicate that the degree of wear on the front and the back of the blade suction surface from different densities of solid particles shows a completely opposite influencing trend. With the increase of delivered solid-phase density, the isobaric equilibrium position moves to the leading edge point of the blade, but the solid-phase isoconcentration point on the blade pressure surface and suction surface basically remains unchanged. The difference between hydraulic lift and water lift indelivering solid- and liquid-phase flows shows a rising trend with the increase of working flow
Why Is Your BMW X3 Hood Not Responding To Release CommandsDart Auto
Experiencing difficulty opening your BMW X3's hood? This guide explores potential issues like mechanical obstruction, hood release mechanism failure, electrical problems, and emergency release malfunctions. Troubleshooting tips include basic checks, clearing obstructions, applying pressure, and using the emergency release.
5 Warning Signs Your BMW's Intelligent Battery Sensor Needs AttentionBertini's German Motors
IBS monitors and manages your BMW’s battery performance. If it malfunctions, you will have to deal with an array of electrical issues in your vehicle. Recognize warning signs like dimming headlights, frequent battery replacements, and electrical malfunctions to address potential IBS issues promptly.
Fleet management these days is next to impossible without connected vehicle solutions. Why? Well, fleet trackers and accompanying connected vehicle management solutions tend to offer quite a few hard-to-ignore benefits to fleet managers and businesses alike. Let’s check them out!
In this presentation, we have discussed a very important feature of BMW X5 cars… the Comfort Access. Things that can significantly limit its functionality. And things that you can try to restore the functionality of such a convenient feature of your vehicle.
What Exactly Is The Common Rail Direct Injection System & How Does It WorkMotor Cars International
Learn about Common Rail Direct Injection (CRDi) - the revolutionary technology that has made diesel engines more efficient. Explore its workings, advantages like enhanced fuel efficiency and increased power output, along with drawbacks such as complexity and higher initial cost. Compare CRDi with traditional diesel engines and discover why it's the preferred choice for modern engines.
Symptoms like intermittent starting and key recognition errors signal potential problems with your Mercedes’ EIS. Use diagnostic steps like error code checks and spare key tests. Professional diagnosis and solutions like EIS replacement ensure safe driving. Consult a qualified technician for accurate diagnosis and repair.
Things to remember while upgrading the brakes of your carjennifermiller8137
Upgrading the brakes of your car? Keep these things in mind before doing so. Additionally, start using an OBD 2 GPS tracker so that you never miss a vehicle maintenance appointment. On top of this, a car GPS tracker will also let you master good driving habits that will let you increase the operational life of your car’s brakes.
Comprehensive program for Agricultural Finance, the Automotive Sector, and Empowerment . We will define the full scope and provide a detailed two-week plan for identifying strategic partners in each area within Limpopo, including target areas.:
1. Agricultural : Supporting Primary and Secondary Agriculture
• Scope: Provide support solutions to enhance agricultural productivity and sustainability.
• Target Areas: Polokwane, Tzaneen, Thohoyandou, Makhado, and Giyani.
2. Automotive Sector: Partnerships with Mechanics and Panel Beater Shops
• Scope: Develop collaborations with automotive service providers to improve service quality and business operations.
• Target Areas: Polokwane, Lephalale, Mokopane, Phalaborwa, and Bela-Bela.
3. Empowerment : Focusing on Women Empowerment
• Scope: Provide business support support and training to women-owned businesses, promoting economic inclusion.
• Target Areas: Polokwane, Thohoyandou, Musina, Burgersfort, and Louis Trichardt.
We will also prioritize Industrial Economic Zone areas and their priorities.
Sign up on https://profilesmes.online/welcome/
To be eligible:
1. You must have a registered business and operate in Limpopo
2. Generate revenue
3. Sectors : Agriculture ( primary and secondary) and Automative
Women and Youth are encouraged to apply even if you don't fall in those sectors.
"Trans Failsafe Prog" on your BMW X5 indicates potential transmission issues requiring immediate action. This safety feature activates in response to abnormalities like low fluid levels, leaks, faulty sensors, electrical or mechanical failures, and overheating.
Core technology of Hyundai Motor Group's EV platform 'E-GMP'Hyundai Motor Group
What’s the force behind Hyundai Motor Group's EV performance and quality?
Maximized driving performance and quick charging time through high-density battery pack and fast charging technology and applicable to various vehicle types!
Discover more about Hyundai Motor Group’s EV platform ‘E-GMP’!
Ever been troubled by the blinking sign and didn’t know what to do?
Here’s a handy guide to dashboard symbols so that you’ll never be confused again!
Save them for later and save the trouble!
What Does the PARKTRONIC Inoperative, See Owner's Manual Message Mean for You...Autohaus Service and Sales
Learn what "PARKTRONIC Inoperative, See Owner's Manual" means for your Mercedes-Benz. This message indicates a malfunction in the parking assistance system, potentially due to sensor issues or electrical faults. Prompt attention is crucial to ensure safety and functionality. Follow steps outlined for diagnosis and repair in the owner's manual.
What Does the PARKTRONIC Inoperative, See Owner's Manual Message Mean for You...
cfd ahmed body
1. Numerical modeling of airflow over the Ahmed body
Yunlong Liu, Alfred Moser
Air and Climate Group, Swiss Federal Institute of Technology, ETH-Zentrum WET A1, CH-8092 Zurich,
Switzerland, Tel: +41 1 6326915, Fax: +41 1 6321023
Email: liu@hbt.arch.ethz.ch, URL: http://www.airflow.ethz.ch/
ABSTRACT
Airflow over the Ahmed body is investigated by
means of transient RANS turbulence models. The
simulations have been performed using two different
differencing schemes. The performances of several
RANS turbulence models have been compared. It has
been found that Durbin’s k-ε-v2
model is more
accurate than the other turbulence models for the
wall-bounded cases with separation and
reattachment. A wall function for k-ε-v2
model has
been introduced to avoid the divergence when very
fine mesh is employed for complex geometries.
Numerical results agree well with the reported
experiments.
1. INTRODUCTION
In order to investigate the behavior of newly
developed turbulence models for complex geometry
cases, a simplified car model, known as the Ahmed
body, has been tested by Ahmed, et al[1]
in the early
1980s. The Ahmed body is made up of a round front
part, a moveable slant plane placed in the rear of the
body to study the separation phenomena at different
angles, and a rectangular box, which connects the
front part and the rear slant plane, as shown in Figure
1. All dimensions listed in figure 1 are in mm.
Several researchers have worked on the experiments
and numerical modeling of the flow over the Ahmed
body. Ahmed studied the wake structure and drag of
the Ahmed body[2-3]
, Lienhart and his colleagues[4]
conducted the experiments for two rear slant angles
(25°, 35°) at LSTM. The velocities and turbulence
kinetic energies have been measured by LDA at
several key locations. This paper will take the LSTM
test results as the validation data. Craft[5]
compared
the performance of linear and non-linear k-ε model
with two different wall functions. Basara[6]
conducted the numerical modeling of this case by
means of large eddy simulation (LES), Menter[7]
compared the
performance of the SST model and some other
turbulence models.
Figure 1: Schematic of the Ahmed body model[1]
Figure 2:Characteristic drag coefficients for the
Ahmed body for various rear slant angles ϕ
measure by Ahmed[1]
As the wake flow behind the Ahmed body is the
main contributor to the drag force, accurate
prediction of the separation process and the wake
flow are the key to the successful modeling of this
case. To simulate the wake flow accurately,
resolving the near wall region using accurate
turbulence model is highly desirable. This paper
will study the effectiveness of three different
turbulence models, including the k-ε-v2
model[8-9]
,
2. the k-ε model and the full stress model, for the
modeling of the flow over the Ahmed body, and
shows the behavior of different turbulence models,
as well as the effect of the grid layout and
differencing schemes on the numerical results.
2. TURBULENCE MODELS
Airflow over the Ahmed body is governed by the
Navier-Stokes equations. As turbulent flow is made
up of a spectrum of vortex scales, the turbulence
energy is distributed through the whole spectrum
based on the wavelength. Ideally, resolving all the
scales can offer the best insight into the
understanding of the turbulent flow, which can be
accomplished by direct numerical simulation (DNS).
However, it is not practical to resolve all the scales
for engineering problems such as the flow over the
Ahmed body. While TRANS, a transient Reynolds
averaged Navier-Stokes approach(RANS), offers a
very promising approach because the large scales can
be resolved while the small scales, which carry less
turbulence energy compared to the large scales, are
modeled by RANS sub-scale models. The averaged
Navier-Stokes equations take the following form:
0
x
U
i
i
=
∂
ρ∂ (1)
−
∂
∂
+
∂
∂
ν
∂
∂
+
∂
∂
ρ
−= ji
i
j
j
i
ji
i
i
uu)
x
U
x
U
(
xx
P1
g
Dt
DU (2)
According to the Boussinesq assumption, the
isotropic eddy viscosity/diffusivity formulation for
Reynolds stress reads:
)
x
U
x
U
(k
3
2
uu
i
j
j
i
tijji
∂
∂
+
∂
∂
ν−δ= (3)
In the standard k-ε turbulence model, the Boussinesq
assumption is applied together with wall functions. It
is widely used and the convergence is stable.
However, the above-mentioned assumption is not
always true because of the an-isotropic nature of the
flow in specific cases, such as the cases that involve
the flows in the near wall region.
According to Launder[10]
, the normal stress
2
v ,
perpendicular to the wall, plays the most important
role to the eddy viscosity. Motivated by this idea,
Durbin[8-9]
devised a three-equation model, known as
the k-ε-v2
model, or v2f model. The idea is to resolve
the normal stress
2
v , along with solving the
modified k and ε equations. The near wall region is
resolved exactly and the wall-reflection is considered
by means of elliptic relaxation in the model. It has
been reported[8-9, 11-13]
that this model is a
significant improvement over the two-equation
model for several test cases, such as channel flow,
backward facing step, etc. Governing equations
read:
∂
∂
σ
ν
+ν
∂
∂
+ε−=
jk
t
j
k
x
k
)(
x
P
Dt
Dk
(4)
∂
ε∂
σ
ν
+ν
∂
∂
+
ε−
=
ε
ε
εε
j
t
j
2k1
x
)(
xT
CPC
Dt
D
(5)
]
x
v
)[(
xk
vkf
Dt
vD
j
2
k
t
j
2
22
2
∂
∂
σ
ν
+ν
∂
∂
+
ε
−= (6)
k
P
C
T
]k/v3/2[
)C1(f
x
f
x
k
2
2
122
j
22
j
−
−
−=−
∂
∂
∂
∂ (7)
22f is a quotient of the pressure strain Φ by the
turbulent kinetic energy k
22
TvC 2
t µ=ν
19.0C =µ , C , C ,
, σ
44.11 =ε
3.1=ε
9.12 =ε
0.1k =σ
i
j
j
i
i
j
tk
x
U
)
x
U
x
U
(P
∂
∂
∂
∂
+
∂
∂
ν=
The time scale T and length scale L can be obtained
from the following:
})(6,
k
max{T 2/1
ε
ν
ε
=
})(C,
k
max{3.0L 4/1
32/3
ε
ν
ε
= η ,
p4
2
w
2
w22 )
y
v
(
20
f
ε
ν
−= , where index w and p
denote the values at the wall and that in the first
cell above the wall, respectively.
To study the performance of the k-ε-v2
turbulence
model for application in complex geometries,
several different turbulence models, including the
k-ε model with wall function, the k-ε-v2
model and
full Reynolds stress model with wall function have
been investigated in this paper. In this study, a wall
3. function for f is introduced in the near wall region
for k-ε-v
22
2
model.
Based on the numerical results for the channel flow
DNS data of Kim[14]
et al (1987), in the near the wall
region, we can get the non-dimensional value of f22
as a function of y+, so the f22 value for the first near
wall cell can be obtained. The following formula is
used to calculate the f22 value for the first near wall
element:
ν+−+= ++
µ
+
/))0.13y/(44.4)0.13y/(65.0(kC)y(f 58.15.0
22
( y+
≥20)
ν−×+= +−
µ
+
/)]20y(10511.200199.0[kC)y(f 45.0
22
( y+
<20)
It should be pointed out that the difference from
Durbin’s original model is that a value is given on
the first point near the wall for f22 equation, along
with the wall functions for the other equations, just
like the case for the k-ε model. The purpose of this
boundary condition for f22 equation is to improve the
robustness of the original model.
3. PHYSICAL CASE AND NUMERICAL
METHOD
The size of the computation domain is 7.044m long,
2.0m wide and 1.05m high, with the down stream
portion extended five meters behind the rear of the
Ahmed body. The Ahmed body is 1.044m long,
0.288m high and 0.389m wide, with a rear slant
angle of 35°, as shown in figure 1. The projected
area of the Ahmed body in the mainstream
direction is 0.112m
xA
2
, which corresponds to a
blockage ratio of 5.33%. The bottom surface of the
Ahmed body is located at 0.05m above the ground.
The incoming flow, located at one meter upstream of
the front surface, is at 40 m/s with 0.2% free stream
turbulence level, the corresponding Mach number is
about 0.115, which gives a vehicle height based
Reynolds number of 7.68×105
. Airflow is assumed to
be incompressible, heat transfer is not considered in
this study. Outflow is assumed fully developed and
the zero-gradient velocity boundary condition is
imposed. The ground and the body surfaces are
treated as no-slip smooth walls. All the other
boundaries are symmetry, because the size of the
wind tunnel is much larger than the computation
domain. Figure 3 shows part of the grid distribution
near the Ahmed body symmetrical plane. Because of
the complexity of this Ahmed body model, the
computation domain has been split into 46 blocks, so
that each processor is responsible for the
computation of several blocks. 16 processors are
employed for parallel computation. To limit the
total number of element cells, a non-uniform
structured grid is constructed, with the near wall
region using smaller grid size to control the first y+
at around 20 to 50. Total element number is
460,000.
It has been found that the grid quality is crucial for
convergence, and smaller time step is required in
the initial stage to ensure the computation not to
diverge. The differencing scheme can affect the
accuracy of the solution, in the initial stage, the
upwind differencing scheme is employed in the
initial computation stage because it is robust, but it
is not as accurate as second order central difference
scheme. At time=0.6s it is switched to the second
order central difference scheme to get a good final
solution.
Figure 3: Grid distribution near the Ahmed body
4. RESULTS AND DISCUSSION
The results shown below are the averaged value
over several cycles of the transient flow field,
unless it is specially stated.
At upstream air velocity of 40m/s, an unsteady
wake in the downstream is generated downstream.
The unsteady wake comprises two vortices behind
the rear with the larger one in the higher part, and
the smaller one in the lower part, as shown in the
streamline in figure 4. The background color in
figure 4 shows the contour of the turbulent kinetic
energy k. It is found that the peak value of k is
located in the center of the small vortex
downstream of the body, as observed in the
experiment[4]
.
Figure 5 shows the mean velocity and flow field in
the symmetry plane of the Ahmed body. Vortical
structures extend more than 0.5m beyond the end
the body rear. The reverse flow climbs up to the
rear slant, as observed in the experiment[4]
.
4. Figure 4: unsteady wake behind the body predicted
using the k-ε-v2
model
Figure 5: Flow field in the symmetry section colored
by the stream-wise u-velocity predicted by the k-ε-v2
model
Figure 6: Comparison of velocity profile of
numerical results and experiment
Figure 6 gives a mean velocity profile comparison of
the numerical results with the experiments for the
separation zone. Geometrical parameters are
normalized by the height of the Ahmed body, L
(0.288m). Compared with the standard k-ε model
and full Reynolds stress model, the k-ε-v2
model gets
better results for velocities above the rear slant and
behind the Ahmed body, because the velocities
predicted by the k-ε-v2
model fit well with the
experimental data[4]
. The numerical results of the full
stress model and the k-ε model predicted a wake
being recovered too soon at the downstream, and
predicted velocities have larger discrepancies when
compared to the experiment data.
Figures 7a-d show the downstream development of
the counter-rotating vortex system and contours of
the predicted turbulent kinetic energy k at four
different sections: 80mm, 200mm, 500mm and
1500mm downstream of the body, respectively. It
confirms that two counter-rotating trailing vortices
are generated downstream of the Ahmed body, and
the vortices effect, though very small, still remains
at more than 1.5m away from the rear, and the
velocity deficit still visible at more than 4m behind
the Ahmed body.
Figures 8 shows the drag coefficients predicted by
the k-ε-v2
model. The time averaged drag force FD
is found by integration of surface pressure and the
shear stress, the drag coefficient is defined as
following:
x
2
0
D
D
Au5.0
F
C
ρ
=
Where ρ is the air density, is the upstream bulk
velocity, is the projected area of the Ahmed
body in x direction.
0u
xA
It should be pointed out that before time=0.6s, the
upwind differencing scheme is used. At time=0.6s,
the differencing scheme is switched to the second
order central differencing scheme. Its averaged
value of the drag force coefficient is 0.262, which
shows that the numerical result agrees quite well
with the experiment data of Ahmed[1]
, which is
about 0.26, if the second order central differencing
scheme is employed. This verified that, not only the
turbulence model and the near wall grid resolution
are affecting the accuracy of the predicted drag
coefficient, the proper selection of the differencing
scheme also plays an important role to make CFD
more accurate.
Table 1 gives a list of the measurement data and the
predicted drag coefficient and its components,
where Ck, CB, CS, CD represents the drag coefficient
at the nose, back, the rear slop and the total.
Pref is the reference pressure which is set to 0 Pa,
when comparing the drag coefficients, the force
components are sensitive to its location. In this
paper the reference pressure is located at the outlet.
Table 1: Validation of drag force and force
components
Ck CB CS CD Error%
Ahmed[1]
0.020 0.095 0.090 0.260 -
LSTM[4]
- 0.129 0.121 - -
k-ε+WF 0.026 0.105 0.111 0.242 -6.8
k-ε-v2
0.020 0.124 0.120 0.264 +1.5
SSG 0.010 0.102 0.098 0.210 -19.2
RSM 0.013 0.093 0.178 0.282 +8.5
SST 0.026 0.107 0.108 0.241 -7.3
5. Based on the comparison of drag coefficients with
LSTM experiment data, it can be concluded that
Durbin’s k-ε-v2
models gives the best result,
followed by k-ε, SST and RSM model.
7a: 80mm
7b: 200mm
7c:500mm
7d: 1500mm
Figure 7a-d: Velocities and contours of the
predicted turbulent kinetic energy k at 80mm,
200mm, 500mm and 1500mm behind the body
predicted by the k-ε-v2
model
Figure 8: Drag force coefficient predicted by
the k-ε-v2
model
6. 5. CONCLUSIONS
The flow field and drag force of the flow over the
Ahmed body can be simulated by computational
approach. Compared with the standard k-ε model
and the full stress model, the k-ε-v2
model performs
better, and the second-order central differencing
scheme is more accurate than upwind scheme.
ACKNOWLEDGEMENTS
This study is supported by MOVA, a project
undertaken by thermo-fluids section directed by
professor K. Hanjalic. Part of this work is finished at
TU Delft under the supervision of professor K.
Hanjalic. Academic discussion with W. Khier, O.
Ouhlous and M. Hadziabdic at TU Delft, The
Netherlands, is gratefully acknowledged. Special
thanks are extended to the Cray T3E computer center
at Delft University of Technology, The Netherlands.
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