Research on Dust Evolution Simulation System Based on Dynamic Data Driven
Abstract
The dust evolution simulation provides an important way to analyze the impact of dust on the environment. Dynamic data driven application system framework is applied and dust evolution simulation model based on DDDAS framework is proposed. Compared with the simulation model of dust evolution without DDDAS, the functions of the inputs of real-time data and modification of simulation parameters ensure the improvement of the accuracy of dust evolution simulation. The experimental results show that the dust evolution simulation with DDDAS framework is more precise than the simulation without DDDAS, which proves the effectiveness of the dust evolution simulation system based on dynamic data driven.
Keywords
Dynamic data driven, Dust evolution simulation, Kinetic monte carlo, Dust accumulation
Publication Date
DOI
10.12783/dteees/seeie2016/4529
10.12783/dteees/seeie2016/4529
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