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A NEW ORIGINAL UNCODITIONALY STABLE MIXED FINITE ELEMENT APPROACH IN TRANSIENT HEAT ANALYSIS WITHOUT DIMENSIONAL REDUCTION Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics University of Belgrade [email protected] Seminar for Rheology, 15 Mart, 2005

Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

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A NEW ORIGINAL UNCODITIONALY STABLE MIXED FINITE ELEMENT APPROACH IN TRANSIENT HEAT ANALYSIS WITHOUT DIMENSIONAL REDUCTION. Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics University of Belgrade [email protected]. Seminar for Rheology, 15 Mart, 2005. - PowerPoint PPT Presentation

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Page 1: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

 A NEW ORIGINAL UNCODITIONALY STABLE MIXED FINITE ELEMENT APPROACH IN TRANSIENT HEAT ANALYSIS WITHOUT

DIMENSIONAL REDUCTION

Dubravka Mijuca, Bojan MedjoFaculty of Mathematics, Department of Mechanics

University of [email protected]

Seminar for Rheology, 15 Mart, 2005

Page 2: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Reference

• The Finite Element Method - Volume 1: The Basis; O.C. Zienkiewicz, R.L. Taylor

• Finite Element Procedures; K. J. Bathe

• On hexahedral finite element HC8/27 in elasticity, Mijuca D.

• Mijuca D, Žiberna A, Medjo B (2005) A new multifield finite element method in steady state heat analysis, Thermal Science, in press

• Cannarozzi AA, Ubertini F (2001) A mixed variational method for linear coupled thermoelastic analysis. International Journal of Solids and Structures. 38: 717-739

• LUSAS Theory Manual 1, Version 13

• STRAUS 7 Verification Manual

• ANSYS Verification Manual

Page 3: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

1st Law of Thermodynamics

Tc f

t

q

00tT T

Initial condition:

Boundary conditions:

4 4

( ) on

( ) on

T

h h

c c a c

r r a r

T h c

T T na

q h na

q h T T

q h A T T

q n

q n

q n

Page 4: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Heat Transfer Modes

• Conduction

• Convection

• Radiation

Page 5: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Conduction

T q k

( , ( , ))T t r rk k

Fourrier’s Law (1822.)

k - Thermal Conductivity

Page 6: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Thermal Conductivities

• Wood 0.05• Water 0.7• Glass 0.8• Steel10-20• Iron 80• Copper 400• Silver 450

k [W/mK] (Room Temperature)

Page 7: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Convection

• Convection involves the exchange of Heat between a Fluid and a Surface

Natural Convection

Forced Convection

0( )c cq h T T 1701 – Newton’s “Cooling Law” 1701 – Newton’s “Cooling Law”

• T,T0 – Temperatures of the surface and the Fluid

• hC – Convective (Film) Coefficient

Page 8: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Convective Coefficient depends on:

• Temperature Difference;• Fluid;• Fluid Speed;• Geometry of the Surface;

• Roughness of the Surface.

Page 9: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Radiation

• Consequence of the Stefan-Boltzmann’s Law:

1 2rh F 4 40( )rh T T q n

T - Temperature at the Surface of the Body

T0 - Temperature of the Environment or the other Body

F1-2 - Shape Factor

- Stefan-Boltzmann Constant

- Emissivity of the Surface of the Body

0T

Page 10: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Galerkin Approximation Of The Energy Balance Equation

div / dT

f ct

q

The next identity holds: div =div

Divergence theorem: div

We finaly obtain: div

d d

d d d

q q q

q q n

q q n q

( div ) 0T

c f dt

q

Page 11: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Galerkin Approximation Of The Energy Balance Equation

div 0

0

Tc d d f d

t

Tc d d d f d

t

q

q n q

(1) 0T

c d d d f dt

q n q

Page 12: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Galerkin Approximation of the Fourrier’s Law:

1(2) ( ) 0T d

q Q Qk

1

1

1

0

( ) 0

T

T

T

T d

q

q

q

q Q

k

k

k

k

Page 13: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Symmetric Weak Mixed Formulation

1

q c

c

Tc d d T d

t

d f d hd q d

q Q Q

q

k

12Find , ( ) ( ) such that

TT H L T T

q

12For all , ( ) ( ) such that 0

TH L

Q

Page 14: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Finite Element Approximation Function Spaces that Enables Continuity

_1

1

10

1

( ) : | , ( ),

( ) : | 0, ( ),

( ) : | , | ( ), ( ),

( ) : | 0, ( ),

T

T

q c

q c

Lh L i i h

Mh M i i h

Lh c L i i h

Mh M i i h

T T H T T T T P C

H P C

Q H h h T T V C

H V C

q q n q n q q

Q Q n Q Q

Page 15: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Finite difference time discretization

1n n

n

T T Tc c

t t

Page 16: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Finite Element Matrix Equations

( ) ( )

( ) ,

e

e

ce

e

a b pLLpMr L p L ab M r M e

e

M a MLp L p L a e

e

LM L Mc ce

e

LM L M ee

A g V r g V d q

B g V P d

D h P P

cS P P d

t

1( )

e

he

ce

e

M Me

e

M Mhe

e

M Mc a ce

e

M n ML e

e

F P f d

H P hd

K P h T d

cL T P d

t

1 1

A B

TB D S

00 0 0A B

T 0 S F H KB D T L

Tvvv vv

vvv vv vv

Tpvp vp

t tp vp p p pvp vp p pt

q

0q

Page 17: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Numerical Examples

Page 18: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

A Ceramic Strip Model Problem

Page 19: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

EA Ceramic Strip Model Problem

Page 20: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

A Ceramic Strip Model Problem

animacija_straus_vth2.htm

Page 21: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

0 2 4 6 8 10 12460

480

500

520

540

560

580

T

empe

ratu

re [K

]

Time history t[s]

Model VTH2

Target value

l1HC8.15 l2HC8.15

A Ceramic Strip Model Problem

Page 22: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

0 2 4 6 8 10 12460

480

500

520

540

560

580

Model VTH2

s1 - HC8/9 s1 - HC8/15

Tem

pera

ture

[K]

Time history t[s]

A Ceramic Strip Model Problem

Page 23: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Transient Temperature Distribution in an Orthotropic Metal Bar

Page 24: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

1

2

3

4

Transient Temperature Distribution in an Orthotropic Metal Bar

Page 25: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

animacija_ansys_vm113.htm

Transient Temperature Distribution in an Orthotropic Metal Bar

Page 26: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

0.0 0.5 1.0 1.5 2.0 2.5 3.0

150

200

250

300

350

400

450

500

N1

N2 N3 N4

Tem

pera

ture

[F

]

Time history t[s]

Transient Temperature Distribution in an Orthotropic Metal Bar

Page 27: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

0.0 0.5 1.0 1.5 2.0 2.5 3.0

350

400

450

500

550Model Ansys 113 - Point 2

s2 - HC8/15 s1 - HC8/15

Tem

pera

ture

[K]

Time history t[s]

Transient Temperature Distribution in an Orthotropic Metal Bar

Page 28: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Steel Ball Numerical Example

Page 29: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Steel Ball Numerical Example

Page 30: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Steel Ball Numerical Example

First iteration t=250 Last iteration t=5819

Page 31: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

0 1000 2000 3000 4000 5000 6000400

450

500

550

600

650

700

750Model VTH4 (picture q1)

q1 - HC20/21 q2 - HC20/21

A

Target value

T

empe

ratu

re [K

]

Time history t[s]

Steel Ball Numerical Example

Page 32: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

0 1000 2000 3000 4000 5000 6000400

450

500

550

600

650

700

750

Model VTH4

Target Value

s1 - HC20/21 s2 - HC20/21Tem

pera

ture

[K]

Time history t[s]

Steel Ball Numerical Example

Page 33: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

A Cylindrical Concrete Vessel for Storing the Core of a Nuclear Reactor

• The walls of the cylinder have tubular cooling vents, which carry a cooling fluid.

• Heat flow rate through the walls over a period of 5 hours.

32400

25

1

kg

mJ

ckg K

Wk

m K

2

298

20

473

298i

a

c

r r

ini

T K

Wh

m KT K

T K

Page 34: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Nuclear Reactor – Straus7 Non averaged Results, t=62000s

Page 35: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Nuclear Reactor – Straus7 Results

Page 36: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Nuclear Reactor – Present Results

Page 37: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Conclusion

• A new robust and reliable finite element procedure for calculations of heat transient problem of a solid bodies is presented

• Approach is fully 3d thus enabling possible bridging with nano and micro analysis of regions of interest in the solid body

• Reliable semi-coupling with mechanical analysis is enabled also, which is matter of future report

Page 38: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

ADENDUM

Time Integration Schemes

Page 39: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

PRIMAL FORMULATIONS

CT KT R 0

Page 40: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics
Page 41: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics
Page 42: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics
Page 43: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics
Page 44: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics
Page 45: Dubravka Mijuca, Bojan Medjo Faculty of Mathematics, Department of Mechanics

Explicit and implicit schemes

• Explicit scheme: • Fully implicit scheme:• Crank-Nicholson scheme:• Galerkin scheme:

1 1/ 2

0

2 / 3