Extending dynamic models of mining subsidence

摘要：

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 Knothes 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.

关键词： dynamic subsidence subsidence prediction cellular automata

作者: LIAN Xu-gang Andrew JAROSZ Jose SAAVEDRA-ROSAS DAI Hua-yang

作者单位: College of Geoscience and Surveying Engineering, China University of Mining and Technology,Beijing 1 Western Australian School of Mines, Curtin University, Kalgoorlie 6430, Australia College of Geoscience and Surveying Engineering, China University of Mining and Technology,Beijing 1

会议类型: 国际会议

会议名称: 2011年国际矿山测量学术讨论会

会议地点: 河南焦作

会议语种:英文

页码: 536-542

在线出版日期: 2011-06-18（万方平台首次上网日期，不代表论文的发表时间）