A discussion 1, trigger the implementation of developed method 2 in characterizing previous experiments 3 to get the probability matrix for agent movement.
result
Following is the simulation UI.
code
For monodispersed granular materials (options 0 – 4) following are the parameters
var pGra1 = [
0.000, 0.000, 0.000, 0.100,
0.800, 0.100, 0.000, 0.000
];
var pGra2 = [
0.000, 0.000, 0.000, 0.175,
0.650, 0.175, 0.000, 0.000
];
var pGra3 = [
0.000, 0.000, 0.000, 0.250,
0.500, 0.250, 0.000, 0.000
];
var pGra4 = [
0.000, 0.000, 0.000, 0.325,
0.350, 0.325, 0.000, 0.000
];
var pGra5 = [
0.000, 0.000, 0.000, 0.400,
0.200, 0.400, 0.000, 0.000
];
and
var pSol = [
0.000, 0.000, 0.000, 0.000,
1.000, 0.000, 0.000, 0.000
];
var pLiq = [
0.060, 0.110, 0.110, 0.125,
0.250, 0.125, 0.110, 0.110
];
var pGas = [
0.125, 0.125, 0.125, 0.125,
0.125, 0.125, 0.125, 0.125
];
for other monodispersed phases (options 5 – 7).
experiment
Experiment with code is documented here.
refs
F. Masduki, P. M. Widartiningsih, S. Nurafni, “Private communication”, Mar 2025. ↩︎
S. Viridi, F. Haryanto, “Agent-based Model and its Potential in Simulating Some Physical Systems”, IOP Conference Series: Materials Science and Engineering, vol 599, no 1, p 012008, 2018, url http://doi.org/10.1088/1757-899X/599/1/012008 . ↩︎
P. M. Widartiningsih, M. I. R. Putra, D. P. P. Aji, A. N. F. Rudiawan, S. Viridi, “Experimental investigation of pile characteristics of non-spherical particles mixtures: pile height and angle of repose”, Journal of Physics: Conference Series, vol 2243, no 1, p 012079, 2021, url http://doi.org/10.1088/1742-6596/2243/1/012079 . ↩︎