脆弱性指数法在沙曲矿上组煤突水性预测评价中的应用

通过对沙曲矿影响上组煤底板太灰突水脆弱性的主控因素、上组煤底板太灰突水脆弱性评价专题图的建立、太灰突水脆弱性评价模型的建立、煤层底板突水脆弱性评价分区及模型的识别与检验(利用脆弱性指数法)对现开采的3#+4#煤层底板太原组灰岩的突水性作出综合研究评价,为矿井防治水工作提供科学指导。

Study on the non-linear forecast method for water inrush from coal seam floor based on wavelet neural network

Directing at the non-linear dynamic characteristics of water inrush from coal seam floor and by the analysis of the shortages of current forecast methods for water inrush from coal seam floor, a new forecast method was raised based on wavelet neural network （WNN） that was a model combining wavelet function with artificial neural network. Firstly basic principle of WNN was described, then a forecast model for water inrush from coal seam floor based on WNN was established and analyzed, finally an example of forecasting the quantity of water inrush from coal floor was illustrated to verify the feasibility and superiority of this method. Conclusions show that the forecast result based on WNN is more precise and that using WNN model to forecast the quantity of water inrush from coal seam floor is feasible and practical.

不同煤层倾角的底板采动破坏特征分析

根据山西龙矿盘道煤业有限公司2#煤层工作面地质及水文地质条件,利用FLAC3D数值仿真软件采用变化煤层倾角的方法,对工作面底板采动破坏进行流固耦合数值模拟,分析与研究不同煤层倾角地质条件下工作面推采过程中底板采动破坏深度的变化特征。研究表明:随着煤层倾角的增大,煤层底板最大采动破坏深度呈现先增大后减小的趋势,且在煤层倾角为30°的地质条件下底板塑性破坏区深度最大。同时将理论计算与数值模拟相结合,对煤层底板进行了突水性预测,为工作面的正常开采提供了理论依据。