烟台大学学报（自然科学与工程版）2013，Vol.26Issue(1)：66-68,3.
石膏矿采空区顶板下沉量的灰色Verhulst预测
Grey Verhulst Prediction of Roof Settling in the Gypsum Mine Goaf
赵小稚1
作者信息
- 1. 山东理工大学资源与环境工程学院,山东淄博255049
- 折叠
摘要
Abstract
The prediction of roof subsidence in mine goaf is one of the important contents for safety management of mine that exploited by open stope method. In addition, the subsidence prediction is also an essential requirement for effective monitoring of major hazards. Based on the fully understanding of the characteristics of roof subsidence, a prediction model was established by using gray Verhulst method. The roof monitoring data of a gypsum mine goaf were analyzed using the model and the results showed that the mine goaf had been in dangerous. The accuracy of the model can meet the requirements which indicates that the gray Verhulst model for prediction of the goaf roof subsidence is applicable.关键词
石膏矿/采空区/顶板下沉/灰色Verhulst预测/预测模型Key words
gypsum mine/ goaf/ roof subsidence/ grey Verhulst prediction/ prediction model分类
矿业与冶金引用本文复制引用
赵小稚..石膏矿采空区顶板下沉量的灰色Verhulst预测[J].烟台大学学报（自然科学与工程版）,2013,26(1):66-68,3.
