Progress Report
نویسندگان
چکیده
Sand fields develop different patterns, such as sandbars, sand ridges, sand ripples, sand dunes, and river dunes. These vary in shape from crescent to ridge-like patterns. They are formed in areas such as deserts, lakes and seashores, where winds or fluid flows are strong and tend to blow from one direction or oscillate. There is a great deal of order in these patterns: perhaps a simple model could be built that captures them. Here we use cellular automata to recreate them and to understand their dynamics. The objective of this research is to model and develop patterns of the movement of sand; namely to study sand dynamics. Sand dynamics is the study of the behavior of sand when there is a force (such as wind, or fluid) acting on it. We present a simple model of a box of sand (see figure 1.a and b [1]), and discuss its dynamics in terms of two mechanisms: advection and avalanching respectively. Cellular automata are the general name assigned to models for the collective behavior of large numbers of individuals. These individual members “agents” are assigned single dynamical rules. ([2], [3]) Cellular automata (CA) processes and related iterative processes have been used to understand the underlying structure of such complex system as clouds, riverbeds, and lava flows. In this study, we apply CA models to recreate the patterns of sand as seen in nature.
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