断层影响下深井工作面底板破坏深度预测
Prediction of Floor Failure Depth in Deep Coal Mining Working Face Influenced by Fault
王朋朋 1许宝卉 1翟江澎 2胡旭宇1
作者信息
- 1. 运城学院 机电工程系,山西 运城 044000
- 2. 中国建筑第二工程局有限公司,北京 100160
- 折叠
摘要
底板破坏深度的预测是底板突水防治研究中的重要一环.为研究断层影响下深井工作面底板采动破坏深度,基于现场实测数据,运用多元线性回归分析方法,构建了断层影响下深井工作面底板破坏深度预测模型,并检验了模型的准确性.通过现场监测方法,验证了预测模型的合理性.结果表明,与传统的统计公式相比,提出的预测模型相对误差平均值至少降低了25.49%,采用新预测模型预测含断层的工作面底板破坏深度为44.96 m,现场监测底板破坏深度为45.7 m,新预测模型预测值与现场监测基本一致.该预测模型对预测断层影响下深井底板破坏深度和防治底板突水具有一定的实用价值.
Abstract
Prediction of floor failure depth is an important part in researching the prevention and control of floor water inrush.To investigate the floor failure depth of deep coal mining working face influenced by fault,a prediction model was constructed using the multiple linear regression analysis method based on field-measured data.The accuracy of the model was then examined and its reasonableness was verified through on-site monito-ring.The results show that the proposed prediction model reduces the average relative error by at least 25.49%compared to the traditional statistical formula.Additionally,the predicted floor failure depth of the working face of the floor-containing fault is 44.96 m,which is similar to the field-monitored floor failure depth of 45.7 m.The prediction model has some practical value for predicting the floor failure depth of deep coal mining under the influence of faults and preventing floor water inrush.
关键词
断层/深部煤层开采/底板破坏深度/预测模型/现场监测Key words
fault/deep coal mining/floor failure depth/prediction model/on-site monitoring引用本文复制引用
基金项目
山西省高等学校科技创新项目(2023L310)
博士科研启动项目(YQ-2023013)
运城学院重点建设学科(XK2023-003)
出版年
2024
NETL
NSTL
万方数据