Extending dynamic models of mining subsidence
来源期刊：中国有色金属学报(英文版)2011年第z3期
论文作者：LIAN Xu-gang Andrew JAROSZ Jose SAAVEDRA-ROSAS DAI Hua-yang
文章页码：536 - 542
Key words：dynamic subsidence; subsidence prediction; cellular automata
Abstract: The movement and deformation processes of the overburden strata and ground surface, induced by underground mining, are affected by mining method, spatial relationships, geotechnical conditions of the rock strata and time. The authors reviewed and extended an existing classical prediction model of the dynamic subsidence, and proposed potential new research avenues offered by Cellular Automata (CA) models. The Knothe’s influence function model and the significance of subcritical mining geometry were analyzed. The prediction results were verified against the subsidence field survey data to assess their quality and acceptability.
LIAN Xu-gang1, 2, Andrew JAROSZ2, Jose SAAVEDRA-ROSAS2, DAI Hua-yang1
(1. College of Geoscience and Surveying Engineering, China University of Mining and Technology,
Beijing 100083, China;
2. Western Australian School of Mines, Curtin University, Kalgoorlie 6430, Australia)
Abstract:The movement and deformation processes of the overburden strata and ground surface, induced by underground mining, are affected by mining method, spatial relationships, geotechnical conditions of the rock strata and time. The authors reviewed and extended an existing classical prediction model of the dynamic subsidence, and proposed potential new research avenues offered by Cellular Automata (CA) models. The Knothe’s influence function model and the significance of subcritical mining geometry were analyzed. The prediction results were verified against the subsidence field survey data to assess their quality and acceptability.
Key words:dynamic subsidence; subsidence prediction; cellular automata
