Solid waste management & Types of Basic civil Engineering notes by DJ Sir.pptx
Agent-based Model in Rectangular Grid for Condensable Granular Gas Simulation
1. International Conference on
Advances in Nuclear Science and
Engineering (ICANSE 2018)
29-30 November 2018,
Bandung, Indonesia
1
Agent-based Model in
Rectangular Grid for Condensable
Granular Gas Simulation
Sparisoma Viridi*, Freddy Haryanto
Department of Physics, FMIPA, Institut Teknologi Bandung
Jalan Ganesha 10, Bandung 40132, Indonesia
*dudung@gmail.com
v20181130_1
2. International Conference on
Advances in Nuclear Science and
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29-30 November 2018,
Bandung, Indonesia
2
Outline
• Introduction
• Model
• Results and discussion
• Closing
..
..
4. Agent-based model
• A very flexible model
• Agents and environment can be freely defined
• Interaction between agents can be divided
into several types
• As also between agent and enviroment
• Imagination is the only limit
International Conference on
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29-30 November 2018,
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5. Previous results
• Eksperiments and a very rough model
• Simulations and several materials phases
• Unphysical motion of agents in innovation
ecosystem – role of STP
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6. IWCS 2018: Drying a sand castle
• A cup of sand
+ 20 ml water
heated in oven
with 150 °C
• Observed at
0, 30, 60, and
90 minutes
International Conference on
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S Viridi, ZFTW Lestari, TDK Wungu, Suprijadi 2018 "Simple grid-based model of sand-
pile avalanche due to heating process" in IWCS 2018, 30 June, Kanazawa, Japan.
7. IWCS ..: Nonuniform evaporation
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t = 0.001 t = 0.041 t = 0.054 t = 0.092
t = 0.104 t = 0.144 t = 0.206 t = 0.401
8. SNM 2018: Gas phase
• [0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125]
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S Viridi, F Haryanto, "Pemodelan berbasis-agen dan potensinya dalam simulasi sistem
fisis" in SNM 2018, 16-17 November, Bandung, Indonesia.
9. SNM 2018: Liquid phase
• [0.060 0.110 0.110 0.125 0.250 0.125 0.110 0.110]
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10. SNM 2018: Granular phase
• [0.000 0.000 0.000 0.250 0.500 0.250 0.100 0.100]
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11. SNM 2018: Solid phase
• [0.000 0.000 0.000 0.000 1.000 0.000 0.000 0.000]
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12. SNM 2018: Rotating fluid phase
• [p↑ p↗ p→ p↘ p↓ p↙ p← p↖] region dependence
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13. SNM 2018: Centrifugal fluid phase
• [p↑ p↗ p→ p↘ p↓ p↙ p← p↖] region dependence
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14. • [p↑ p↗ p→ p↘ p↓ p↙ p← p↖] region dependence
SN..: Another rotating fluid phase
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15. PICS 2018: STP with ABM
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S Viridi, T Suheri, S Rahimah, NM Sudaryani, D Suhendra 2018 "Science and
Technology Park in Innovation Ecosystem: An Agent-based Model Simulation" in PICS-
2018, 5 November, Bandung, Indonesia.
Age distribution Type distribution
17. Particle motion
• There are eight directions of motion
0:↑, 1:↗, 2:→, 3:↘, 4:↓, 5:↙, 6:←, 7:↖
• Physical system will determine probability of
moving in each direction
• The rule is simple, if destination is empty then
source can be moved from src to dest
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18. Notation: Row vector
• Probability to the eight direction is represent-
ed in a row matrix (direction probability
vector)
[p↑ p↗ p→ p↘ p↓ p↙ p← p↖]
e.g. an isotropic motion
[1/8 1/8 1/8 1/8 1/8 1/8 1/8 1/8]
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19. Notation: Matrix
• Direction probability vector
pi = [p↑ p↗ p→ p↘ p↓ p↙ p← p↖]
• Direction probablity matrix
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=
987
654
321
ppp
ppp
ppp
XP
20. Kinetic energy vs interaction force
• High temperature should produce isotropic
motion direction probability vector
• Existence of interaction force should produce
specific direction probability vector
• At lower temperature force will dominate and
screen the isotropic motion direction
probability vector
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21. Interaction between matrix?
• Calculate Hadamard product of two or more
matrices
• Normalize the matrix into direction probability
matrix
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22. International Conference on
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Results and discussion
23. Two center of condensation 1
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24. Two center of condensation 2
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25. Two center of condensation 3
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26. Two center of condensation 4
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27. Two center of condensation 5
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28. Separation distance
• It requires tuning to behave like a liquid-drop
model
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0
0.2
0.4
0.6
0.8
1
20 40 60 80 100
Ds
N
30. Summaries
• ABM has been used in condensable granular
gas simulation
• There are still unclear simulation parameters
• Physical properties can be used to define
matriks component, i.e. direction probability
vector
• Separation of cluster depends on initial
number of particles but inversely
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Advances in Nuclear Science and
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31. Acknowledgements
• Authors would like to thank to committee of
ICANSE 2018, Nuclear Physics and Biophysics
Research Division, and Faculty of Mathematics
and Natural Sciences, Institut Teknologi
Bandung
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32. Future plans
• Find scalling apropriate law for mapping
physical parameters into simulation
parameters
• Modify force formulation in the term of
motion probability vector and matrix
• Make colloaboration (are you interested in
that? )
International Conference on
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34. International Conference on
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