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7/29/2019 Advanced Numerical Method usedin Composite Materials Modellings
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Advanced Numerical Method usedin Composite Materials Modellings
7/29/2019 Advanced Numerical Method usedin Composite Materials Modellings
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Advanced Numerical Modelling.
Scope and modelling methods.
Scope of the present presentation consist in quick listening of theimportance of numerical study on establishing the properties,loadings system and perspectives of the numerical simulation
The present modelling situation is based on the levels:Macro modellingMezoscale modellingNanoscale modelling
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Transport phenomena modelling Phase change and global properties modelling Phase change and local properties modelling Solid state transformations and residual stresses and
Advanced Numerical Modelling.
Scope and modelling methods.
s ra ns es a s ng Structure stresses, strains and deflections calculation Dynamics of structure, cracks generation an growth,fatigue verifications Schematic aspects of a structure modelling.
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Macro modelling
Transport Equations Mass Conservation Momentum Conservation
Incompressible fluids Compressible fluids
Ener Conservation
Phase change
a) (solid liquid, liquid solid, liquid vapors)b) (solid states transformation and properties)
Residual stresses, strains and deflections
Stress and strain analysis using loading system and limitconditions
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TRANSPORT PHENOMENON MODEL
General aspects of equations involved in mass, momentum and energytransport have the general expression:
+
−
=
genaration
of rate
outputs
of rate
inputs
of rate
onsaccumulati
of rate
−
=
outputs
massof rate
inputs
massof rate
nacumulatio
massof rate
For an infinitesimal volume element dΩΩΩΩ is ρdΩΩΩΩ that must be integrateover the element to obtain the rate of mass accumulation
∫∫∫ ΩΩ⋅
∂
∂d
t ρ
Rate of mass changed from the infinitesimal surface d Γ can beexpressed by
influx/efflux = (-/+) (ρρρρ u) (d Γ ΓΓ Γ cos θ θθ θ ),
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where θ is the angle between the velocity vector u and the normal outwardunit vector n to the surface dΓ .
Or, using the vector algebra:
Γ ⋅⋅⋅=⋅⋅⋅Γ ⋅=⋅Γ ⋅ d nunud d u )()cos()cos)((rrrr
ρ θ ρ θ ρ
By integrals over the whole surface of the element d Γ give
TRANSPORT PHENOMENON MODEL
∫∫Γ Γ ⋅⋅⋅− d nu )(
rr
ρ
The integral form of the equation of mass transfer become:
0)( =Γ ⋅⋅⋅+Ω⋅
∂
∂∫∫∫∫∫ Γ Ω
d nud
t
rr ρ ρ
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Differential form of mass balance:
a) The aid of Gauss divergence theoremb) The direct concept of mass conservation applied to 3D differentialcontrol volume as applied in figure 2
TRANSPORT PHENOMENON MODEL
Mass Balance
∫∫ ∫∫∫Γ ΩΩ⋅⋅⋅∇=Γ ⋅⋅⋅ d ud nu )()(
rrr ρ ρ
0)( =Ω⋅
⋅⋅∇+
∂
∂∫∫∫ Ω
d ut
r ρ
ρ
As the integral must vanish on the arbitrary control volume and theintegrant is a continuum function, it follow that the integral must be equalwith zero. So:
0)( =⋅⋅∇+∂
∂
ut
r
ρ
ρ
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And for an incompressible fluid, ρ = constant
0=⋅∇ ur
b) Use the 3D differential control volume,the left hand side of general equation, the rate of mass accumulationwithin the differential control volume (∆x∆y∆z) can be expressed as:
TRANSPORT PHENOMENON MODEL
Mass Balance
)( z y x
t
∆⋅∆⋅∆⋅
∂
ρ
The influx in the control volume on the three directions is:
( ) z yuu x x x x x ∆⋅∆⋅⋅−⋅
∆+ ρ ρ
x zuu y y y y y
∆⋅∆⋅⋅−⋅∆+
ρ ρ
( ) y xuu z z z z z
∆⋅∆⋅⋅−⋅∆+
ρ ρ
The total net rate of mass influx is the sum of directional mass input and
the differential eq. become:
Figure 2
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( ) ( )
( ) ( ) y xuu x zuu
z yuu z y x
t
z z z z z y y y y y
x x x x x
∆⋅∆⋅⋅+⋅+∆⋅∆⋅⋅−⋅+
∆⋅∆⋅⋅−⋅=∆⋅∆⋅∆⋅
∂
∂
∆+∆+
∆+
ρ ρ ρ ρ
ρ ρ ρ
Dividing by ∆x ∆y ∆z and taking the limit as ∆x ∆y ∆z
TRANSPORT PHENOMENON MODEL
Mass Balance
( ) ( ) ( ) 0=⋅∂
∂+⋅∂
∂+⋅∂
∂+∂
∂ z y x u
zu
yu
xt ρ ρ ρ ρ
In vector form:
( )0=⋅⋅∇+
∂
∂
ut
r
ρ
ρ Figure 2
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Momentum Transfer Governing Equation
Integral Form of Balance Equation
+
−
=
systemon
acting forces
of sum
out
momentum
of rate
in
momentum
of rate
onaccumulati
momentum
of rate
TRANSPORT PHENOMENON MODEL
The first and second term of right-hand site of equation consist intwo component, convective and viscous flux transfer
+
−
=
systemon
acting forces
of sum
momentum
viscousnet
of rate
momentum
convectivenet
of rate
onaccumulati
momentum
of rate
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( ) Ω⋅⋅∂
∂∫∫∫Ω
d ut
r ρ
∫∫Γ Γ ⋅⋅⋅⋅− d nuu )(
rrr ρ
Γ ⋅⋅− d nr
τ
- Rate of momentum accumulation
- Rate of net convectiv momentum
- Rate of net viscous momentum
Momentum Transfer Governing Equation
TRANSPORT PHENOMENON MODEL
Similar with the mass balance consideration:
∫∫ ∫∫∫Γ ΩΩ⋅+Γ ⋅⋅− d f d nP b
r
∫∫∫Ω Ω⋅∇− d P f b )(
( ) ( ) ( )∫∫∫ ∫∫ ∫∫ ∫∫∫Ω Γ Γ ΩΩ⋅∇−+Γ ⋅⋅−Γ ⋅⋅⋅⋅−=Ω⋅⋅
∂
∂d P f d nd nuud u
t b
rrrrrτ ρ ρ
- Sum of forces acting on system
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Differential Form of Momentum Balance Equation
( )
( ) b f Pnuut
u
+⋅∇−⋅∇−⋅⋅⋅⋅−∇=∂
⋅∂
τ ρ
ρ rrrr
)(2
b f Puuut
u+∇−∇=∇⋅⋅+
∂
∂ rrrr
µ ρ ρ
1 2 3 (4)
TRANSPORT PHENOMENON MODEL
Momentum Transfer Governing Equation
zu
yu
xu
t Dt
D z y x
∂
∂+
∂
∂+
∂
∂+
∂
∂=
b f Pu Dt
u D+∇−∇=
rr
2 µ ρ
Observation:
mass ( ρ ρρ ρ ) x accelera ţ ion(Du/Dt ) = viscous forces – externalforces
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Boundary Conditions.
1) Prescribed inlet or outlet conditions2) Free sleep conditions3) No-sleep conditions4) At liquid/liquid interfaces the momentum flux and speeds
TRANSPORT PHENOMENON MODEL
Momentum Transfer Governing Equation
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Governing Equations of Energy Transfer
+
−
=
systemon
acting forces
of sum
momentum
viscousnet
of rate
momentum
convectivenet
of rate
onaccumulati
momentum
of rate
General expression of energy balance
TRANSPORT PHENOMENON MODEL
+
−
−
=
)5()4(
)3()2()1(
generation
heat of rate
donework
of rate
out energyinenergyonaccumulati
The therms (1),(3) includes the thermal, kinetic and potential energy perunit volume of the fluid, with equation
++⋅= energy potential
u
T C E V 2
2
ρ
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Term 4 include the work done by the fluid on surroundings, so heconsider the pressure, viscous heating and shaft work
Term 5 include the heat generation caused by Joule effect, chemicalreactions and phase transformation.
In the application, the kinetics and potential energy, therms (1), (2), (3)are neglected as compared with thermal energy. The therm (4) can be
TRANSPORT PHENOMENON MODEL
Governing Equations of Energy Transfer
neglected too in some applications and the aspect of energy balanceequation is reduced to thermal equation.
+
−
=
generation
heat of rate
out energy
thermalof rate
inenergy
thermalof rate
onaccumulatienergy
thermalof rate
The first and second right-hand site of the equation can be writetogether using the convection and conduction expression of heat flow.
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+
=
)3()2()1(
heat of rate
conduction
byinenergy
thermalof ratenet
convection
byinenergy
thermalof ratenet
onaccumulati
energy
thermalof rate
TRANSPORT PHENOMENON MODEL
Governing Equations of Energy Transfer
+
)4(
generation
Similarly with the mass balance integral equation the integral form of energy
balance equation get the form( ) ( )( ) ( ) ∫∫∫∫∫ ∫∫ ∫∫ ΩΩ Γ Γ
Ω⋅+Γ ⋅⋅−Γ ⋅⋅⋅⋅−=Ω⋅⋅⋅∂
∂d gd nqd nuT C d T C
t V V
&rrrr
ρ ρ
(1) (2) (3) (4)
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Terms (2) and (3) called “surface phenomenon” get the phenomenon acrossthe frontiers of the volume control (named control surfaces). Indicate the netinfluxes of thermal energy due to convection – bulk fluid flow and conduction.If g is the heat generate per unit volume that is considerate constant over the
TRANSPORT PHENOMENON MODEL
Governing Equations of Energy Transfer
. .
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Differential Form of Energy Balance Equation
( ) ( ) Ψ++⋅∇−⋅⋅⋅−∇=⋅⋅∂∂ gqT C T C t
V V &r
ρ ρ
gT T uC T
C V v&
r+∇⋅+∇⋅⋅⋅−=
∂⋅ 2λ ρ ρ
Or, for sub-sonic fluid speed
TRANSPORT PHENOMENON MODEL
Governing Equations of Energy Transfer
Or:gT T u
t
T C V &
r+∇⋅=
∇⋅+
∂
∂⋅ 2λ ρ
And, using the notation convention for derivation the aspect of
balance of energy becomegT
Dt
DT C V &+∇⋅=⋅ 2λ ρ
Boundary and limits conditions0) Knotweed initial temperature
0),,(00=== t for z y xT T or T T
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1) Prescribed temperature
bbbb z z y y x xboundarytheonT T ==== ;;
2) Prescribed heat flux
b
b
x
x x
T
q x
T
=∂
−
=∂
∂−
=
λ
λ
TRANSPORT PHENOMENON MODEL
Governing Equations of Energy Transfer
b
b
b
b
z
z z
y
y y
q z
T
y
=∂
∂−
∂
=
=
λ
3) Prescribed convective fluxes on boundary
)(
)(
)(
S
b
S
b
S
b
z z
z z
y y
y y
x x
x x
T T h z
T
T T h y
T
T T h x
T
−=∂
∂−
−=∂
∂−
−=∂
∂−
∞
=
∞
=
∞
=
∞
∞
∞
λ
λ
λ
4) Radiation heat flux)( S incr
x x
T T h xT
b
−=∂∂−
=
λ ( )( )22
S incS incr T T T T h ++⋅= σ ε
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Similarities among the transport phenomenon
TRANSPORT PHENOMENON MODEL
If we analyze carefully the three transport equations we shall see a lot ofsimilitude between them. Good understands and solve of one of them
make easy the understand and solve of all of them. For that, let to seethe similarity and differences between the three phenomenons.
Aspects of Fluxes Diffusion
Aspects of fluxes diffusion from Oy direction
Mass transfer(Fick low )
dy
d D j A
AB y A
ρ −=
,
Momentum transfer( Newton viscous low)
dy
du x yx µ τ −=
Heat transfer(Fourier conduction)
dy
dT q y y λ −=
Where, λ,DAB,µ are transport coefficients of the T,ρA and ux.
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If the Measure Units of this coefficients become similar, then theequations become full analogues. For mass and momentum, the MU is
similar, m2 /s. For heat conduction, [J/m2 /s/ oK]
ρ
λ α
⋅=
pC
⋅⋅
The heat flux expression become:
TRANSPORT PHENOMENON MODEL
Similarities among the transport phenomenon
dy
qp
y −= α
General expression of diffusive fluxes become
gradient eqtransfer tydifuzibili flux .×−=
( )
dy
d D j A
AB y A
ω ρ ⋅−=
,
( )dy
ud x
yx
⋅−=
ρ υ τ
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Convective transfer
( )S A AC
S A A
y
A
AB
y y A
y D
n ,,
,,
0
0,ρ ρ
ρ ρ
ρ
−⋅Κ=
−
∂
∂−
≡ ∞
∞
=
=
Fluxes transfer for mass, momentum, energy
TRANSPORT PHENOMENON MODEL
Similarities among the transport phenomenon
( )S f
S
x
y yxuuC
uu
x
u
−⋅=
−∂
∂
−≡ ∞
∞
=
'
0
µ τ
( )S S
y
y y T T hT T
y
T
−⋅=
−
∂
∂−
≡ ∞
∞
=
=
0
0
λ
ρ
difference potentialt coefficien
transfer
zoneboundary
theon flux
×
−=
Expression of convective fluxes
Aspects of fluxes convection
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+
+
=
)4()3()2()1(
sgeneration
of rate
fluxesviscouse
or diffusive
of rate
fluxes
convective
of rate
onsaccumulati
of rate
TRANSPORT PHENOMENON MODEL
Similarities among the transport phenomenon
( ) ∫∫∫∫∫∫ ∫∫ ∫∫ ΩΦ
Ω Γ Γ Φ Ω⋅+Γ ⋅⋅−Γ ⋅⋅Φ⋅⋅−=Ω⋅Φ⋅
∂
∂d gd n f d nud
t )()(
rrrr ρ ρ
( ) ( ) ΦΦ +⋅∇−Φ⋅⋅⋅−∇=∂
Φ⋅∂ g f ut
rr ρ ρ
Results, integral and differential unified equations
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The specifically volume of the liquid and solid is not equal and the
shape of solid domain can differ from the shape of liquid domain,the flow of liquid phase around the solid interface can generatedifferent concentrations and give segregationsThe latent heat of transformation modifies the heat gradients in
TRANSPORT PHENOMENON MODEL
Governing Equations of Energy Transfer
the neighborhood of the interface and the solidification speed andthe microstructure will be modified.When the alloys are in process of solidification, the species arerejected or absorbed inside the solid phase and the defects at microscale can appear
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S
S n f
L
Ln
T R H
n
T
∂
∂=⋅⋅+
∂
∂λ ρ λ
( )S
S S n L
L
L L
n
C D Rk C
n
C D
∂
∂=−+
∂
∂0
*1
Whereλ , λ thermal conductibilit in li uid
TRANSPORT PHENOMENON MODEL
Phase Change Inside Control Volume
CL,CS the species concentration inliquid phaseDL,DS diffusion constant in liquidrespective solid phaseC*L the liquid equilibrium species
concentrationKo the CS /CL concentration relationRm the raze of the solid phase
Boundary Heat flow distribution
Boundary Species massdistribution
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Solvers variants
•Fixed grids and use the solid fraction proportion•Variables rids
TRANSPORT PHENOMENON MODEL
Governing Equations of Energy Transfer
•Transformed grids
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TRANSPORT PHENOMENON MODEL
Phase Change Inside Control Volume
( )t
f QT
t
T C S
LV ∂
∂⋅+∇⋅⋅∇=
∂
∂⋅ ρ λ ρ
Composites
Fixed grid method
t T
T f Q
t f Q S
L
S
L∂∂
∂∂⋅=
∂∂⋅ ρ ρ
( )T t
T
T
f QC S
LV
∇⋅⋅∇=∂
∂
∂
∂− λ ρ ( ) ( )
≤=
∈∈
≥=
S S
S LS
LS
T T f
T T T f
T T f
1
,...,1,...,0
0
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TRANSPORT PHENOMENON MODEL
Phase Change Inside Control Volume
L Lm L C mT T ⋅+=
))(1()1(00
0
T T k
T T
k C
C C f
m
L
L
L
S −−
−=
−
−=
2
m L LS
L
T T Q f Q
−
−⋅
−=
∂−
Level model
Lm
Scheil model
2)()1(
Lm
m L LS
LT T
T T
k
Q
T
f Q
−
−⋅
−=
∂
∂−
Brody-Fleming model
−
−−⋅−=
−k
m
Lm
S T T
T T k f
1
1
1)1( α
1
1
1
1
−
−
−⋅
−⋅
−=
∂
∂−
k
m L
m
m
LS
LT T
T T
T T k
Q
T
f Q
a
f S t Dλ
α ⋅⋅≅4 ( ) ( )( ) k
k
m
k Lm LS
L
T T T T
k k Q
T f Q
−
−
−
−−⋅
−⋅+⋅=
∂∂−
1
2
1
1
11 α
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TRANSPORT PHENOMENON MODEL
Phase Change Inside Control Volume
Linear model
S L
LS
T T T T f
−−=
S L
LS
LT T
Q
T
f Q
−=
∂
∂−
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TRANSPORT PHENOMENON MODEL
Applications in Civil Engineering
Large-capacity ground-supported tanks are used to store a variety ofliquids, e.g. water for drinking and cooling energetically and industrial
systems, fire fighting, petroleum, chemicals, and liquefied natural gas.Satisfactory performance of tanks during strong ground shaking is crucialfor modern facilities. Tanks that were inadequately designed or detailedhave suffered extensive damage during past earthquakes [2-7] or external
Dynamics of fluid inside a reservoir.
.
tanks walls during the earthquake, explosions, tsunami and other naturalor military exceptional loads plays essential role in reliable and durabledesign of structure resistance tanks, which are made from steel orconcrete and working at the soil level, inside the soil or over the soil level.From the last big earthquake the knowledge of the fluid movement inside
the waste reservoirs and tank become more important until now
TRANSPORT PHENOMENON MODEL
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TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
The geometry and type ofboundary conditions inposed to
fluid.The earthquake accelerationspectras on OX an OYdirections
l) The flow is 2-D, incompressible, and initial laminar.2) Each thermal property of incompressible fluid is constant.3) The walls deformations are small and the structure move between the
earthquake with the instant acceleration of the quake.4) The time computed effects of the quake on the tank is double that totalearthquake time5) The heat dissipation and the turbulent indices are calculated only in the fluidcontrol volumes of the bulk.
Work reduced Hypothesis
TRANSPORT PHENOMENON MODEL
Γ
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( ) ( ( )
S x x x x
x x x
v
x
v
x
v
t
k k j j
iik
k
j
j
i
i
+
∂
∂Γ
∂
∂+
∂
∂Γ
∂
∂
+
∂
∂Γ
∂
∂=
∂
∂+
∂
∂+
∂
∂+
∂
∂
ϕ ϕ
ϕ ϕ ϕ ϕ ϕ
TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
ϕ Γ S
Continuity ρ 0 0
Momentum OX
vi
velocity on xi direction
µ
Momentum OY v j
velocity on x j direction
µ
Momentum OZ vk µ
Energy T
temperature
j x
jg x +∂
∂ϕ
j x
j
g x
+∂
∂ϕ
c ρ
λq&
k x
k
g x
+∂
∂ϕ
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TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
Boundary conditions
,
be accelerating with the same acceleration that acts on thewall. In our case, with the consideration that the walls are rigidand there deformation is are neglected, the acceleration willbe equal with the acceleration gives by earthquake spectralaccelerations.
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Boundary condition on cells in contact with the walls
For fluid flow analysis, either the slip wall condition or the no-slipwall condition is adopted according to the size of a cell and themagnitude of velocity. When the walls move, the convectioncoefficient between fluid and solid boundary is calculated, basedon Re and Pr numbers in the fluid cells. The heat flow e uation is
TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
used only to calculate the fluid temperature distribution variation inthe quake action. For water and other liquids the temperature isnot important but for oils and liquefied gases the knowledge offluid temperature and pressure becomes important. The equationsfor boundary domain in contact with solid walls become
TRANSPORT PHENOMENON MODEL
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viuv
av y
pv
y
vu
x
v
t
v
au x
pv
y
uu
x
u
t
u
Y
X
rrv⋅+⋅=
⋅+∆+∂
∂−
∂
∂−
∂
∂−=
∂
∂
⋅+∆+∂
∂−
∂
∂−
∂
∂−=
∂
∂
ρ µ ρ
ρ µ ρ
TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
Where a X and a Y are the spectrum of quakeaccelerations transmitted to the walls. In accord withthe 3) hypothesis, that accelerations will be take incalculus equal with the earthquake accelerations
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The free boundary surface of the fluid
t
T
x
vmn
x
v
x
vmn
mn x
vmn
T
j
j
x x
i
j
j
i x x
x x
i
i x x
i ji j
ji ji
∂
∂=
∂
∂+
∂
∂+
∂
∂
++∂
∂
γ µ
2)
(2
Tangential stress condition
TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
The free boundary
Normal stress condition
a
j
j
x x
i
j
j
i x x
i
i x x
x
vmn
x
v
x
xnn
x
vmn
j j jiiiφ µ =
∂
∂+
∂
∂+
∂
∂+
∂
∂2
φa
= (p ext
)/ ρ + γ T
/R m γ T is the surface tension function of temperature
p ext is the pressure of gas phase inside the tank
R m is the local mean radius of the free surface
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Initial and load conditions
Because the problem is time dependent, the initial conditions consistin imposing null speed value for v x and v y and the gas pressure equal
TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
.
considerate equal with 200
C and the walls reservoir streams null too.After the first time step, the quake event is considerate and thespectra given in the figure 2 was applied on the liquid/solid boundaryaccordingly with figure
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Solution and results
TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
,
2s, 3s, 4s for two reservoirgeometry (H/L) and filling rate
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TRANSPORT PHENOMENON MODEL
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
Speed on OY directions for 1s – 10s and for sec. 35 and 40
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Applications in Civil EngineeringDynamics of fluid inside a reservoir.
Pressure dynamicsinside the fluid
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Applications in Civil EngineeringDynamics of fluid inside a reservoir.
Time history of heat
generated by viscous frictionInside the fluid bulk
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Turbulence factor time
Applications in Civil EngineeringDynamics of fluid inside a reservoir.
history
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Applications in Civil EngineeringDynamics of fluid inside a reservoir.
Speed on OX axis time variation
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TRANSPORT PHENOMENON MODEL
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Applications in Civil EngineeringWind loads simulation
The wind loading is considered by Devenport(1998) in threecategories:
a) Extraneously-induced loading based on naturally turbulentoncoming wind. The weak of upstream obstructions enhance thiscategories buffeting.b) Unstable flow phenomenon such as separations,reattachments and vortex shedding generate a secondary type of
forces.
c) The movement-induced excitation of the body generate by thedeflection of the structure create fluid flow too. This phenomenonwith a strong unsteady states character gives the complexity ofthe fluid flow around the flexible tall structures. The modern
design of flexible tall structures must request to earth quakesevents and wind loads, cases that represent a state of the art ofthe civil engineering.
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Applications in Civil EngineeringWind loads simulation
The Eurocode and most used standards are highlighted by Allsop (2009) asthe most flexible and inclusive code for normal buildings. The quasi-staticmethods offered by these codes are only applicable for buildings withstructural properties such that they are not susceptible to dynamic excitation
(Metha, 1998). Thus, the tall buildings, those with high slenderness ratiosand/or asymmetric planes, exceed limitations and are advised to be testedin the wind tunnel.
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Applications in Civil EngineeringWind loads simulation
Numerical analysis
The domain of computing is established in the figure and the wind
input speed diagram in the figure 2. The system of partialdifferential equations is give on the forms of mass conservation ,momentum conservation and energy conservation
r0=⋅∇+
∂V
t
( ) ( ) g pV V V t
rrrr⋅+−∇=×⋅∇+⋅
∂
∂ ρ ρ ρ
( ) ( ) ( )T V p E E t
∇⋅∇=⋅+⋅∇+⋅∂
∂ λ ρ ρ
r
Index
Ox
Value
[m]
Index
Oy
Value
[m]
Index
Oz
Value
[m]
L 96 Y 96 Z 96
L1 6 Y/2 48 H1 21
L2 21 Y1 36 H2 69
L3 46 Y2 33 H3 12
L4 3 Y3 24
L5 36 Y4 24
L6 18
Domaingeometryandnotations
Values ofdomaingeometry
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Applications in Civil EngineeringWind loads simulation
)()()( qqq hg f q ++=
( )
+
+
=
=
p E u
uw
uv
pu
u
f
E
w
v
u
q q
2
)( ;;
ρ
ρ
ρ
ρ
ρ
ρ
ρ
ρ
( ) ( )
+
+
=
+
+=
p E w
pw
vwuw
w
h
p E v
vw
pvuv
v
g qq
2
)(
2
)( ;
ρ
ρ ρ
ρ
ρ
ρ ρ
ρ
( )222
2
1
1 wvu
p
E +++−= ργ
v
p
c
c=γ
γ -law polytrophic gas considered in the present
Where c p
and c v
are the specific heat at constant pressure, respectively constant
volume
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Applications in Civil EngineeringWind loads simulation
1.Boundary and Initial Conditions and input particularities
Buildings domain geometry Wind input time variation onsurface P1
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Applications in Civil EngineeringWind loads simulation
Results
Pressure on façade tall building
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Applications in Civil EngineeringWind loads simulation
a) t=0.152484 s b) t=0.299869 s c) t=0.446137 s d) t=0.592342 s
Wind speed time variations (OX axis)
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Applications in Civil EngineeringWind loads simulation
Façade pressure time variation history
a) t=0.299869 s b) t=0.446137 s c) t=0.592342 s d) t=0.731194 s
e) t=0.871237 s f) t=0.985921 s g) t=1.107586 s h) t=1.245531 s
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Applications in Civil EngineeringWind loads simulation
i) t=1.390198 s j) t=1.534835 s k) t=1.679116 s h) t=5.39784 s
The map of pressure on the facade of the tall building for
different moment of the aplication.
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Applications in Civil Engineering
Wind loads simulation
Time dynamics of the pressure on the tall building façade
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Applications in Civil Engineering
Wind loads simulation
a) t=0.871237 s a) t=1.390198 s a) t=2.114628 s a) t=5.39784 s
The pressure map on the back surface of tall building for diverse moments of the loadsapplication.
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Applications in Civil Engineering
Wind loads simulation
Pressure Dynamics on the Back Surgace of Tall Building
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Applications in Civil Engineering
Wind loads simulation
Pressure Dynamics on the left side tall building surface
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Applications in Civil Engineering
Wind loads simulation
a) t=0.871237 s b) t=1.390198 s c) t=2.114628 s d) t=5.39784 s
The pressure maps on the left surface of the tall building for diverse moments of
application.
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Applications in Civil Engineering
Wind loads simulation
Pressure dynamics on the right surface of the tall building
C
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Applications in Civil Engineering
Wind loads simulation
Speed on OX axis (u) in the middle plane of the modelled area
A li ti i Ci il E i i
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Applications in Civil Engineering
Wind loads simulation
Wind speed on OY axis (v) in middle plane
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TRANSPORT PHENOMENON MODEL
Applications in Civil Engineering
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•Conclsions
The gas dynamics modelling based on Euler PDE system of equation cansolve the problems of wind loads on tall structures without using theNavier-Stokes PDE system of equation with diverse turbulence flow
Applications in Civil Engineering
Wind loads simulation
mo e s or accurate ow ynam cs.
A combination between the two modelles can be used because the gasspeeds are low in the case of wind loads and the gas is practicalincompressible. The turbulence area of flow, that in the civil engineeringhave a huge area of the domain (60-80%) in the cases of wind loads ontall buildings can be simulate using the Euler system of equations and the
complicated turbulences models can be avoided
TRANSPORT PHENOMENON MODEL
Applications in Civil Engineering
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Thank you dear students and
Applications in Civil Engineering
Wind loads simulation
for that short time together