Dynamic Prediction Model of Mining Subsidence Based on Cellular Automata

Xue Yang Sun; Yu Cheng Xia

doi:10.4028/www.scientific.net/AMR.962-965.1056

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Dynamic Prediction Model of Mining Subsidence...

Dynamic Prediction Model of Mining Subsidence Based on Cellular Automata

Abstract:

Cellular Automata is a discrete dynamic model based on space-time, and is one of the effective methods to study complex systems. The CA, a new method applied to coal mining subsidence dynamic evolution model, provide a new idea for the prediction research of mining subsidence. Definition and basic theory of CA were introduced briefly. According to the particularity of the research in the field of mining subsidence, the definition of CA is extended. The model of dynamic evolution of mining subsidence is built on the CA. Then modeling method and the structure of model are elaborated, and the advantages of the CA are applied to coal mining subsidence prediction model is analyzed.

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

1056-1061

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.1056

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Online since:

June 2014

Authors:

Xue Yang Sun*, Yu Cheng Xia

Keywords:

Cellular Automata, Discrete Time, Mining Subsidence, Space

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* - Corresponding Author

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