期刊文献+

厚松散层下开采地表动态移动参数研究 被引量:6

Study on Surface Dynamic Subsidence and Deformation Parameters in Area Covered with Thick Alluvium
下载PDF
导出
摘要 针对厚松散层覆盖地区地表动态移动变形剧烈的现象,首先分析了松散层深部黏土与基岩在力学性质方面的差异,进而对地质和采矿技术因素进行线性相关性分析,然后运用多元线性回归预计模型对厚松散层动态移动参数进行回归分析,最后验证了预计模型的有效性和准确性。结果表明:由于深部黏土和基岩的强度差别较大,势必造成在厚松散层覆盖地区地表移动变形剧烈;影响地表最大下沉速度滞后角正切值的主要因素是煤层上覆岩层的岩性强弱,而地表最大下沉速度的影响因素主要是工作面的开采强度;厚松散层地表动态移动参数的预计模型与实际吻合程度较好,预计结果合理可靠且具有较高的预计精度,能够对厚松散层地区地表构筑物的保护和治理措施的制订提供参考依据。 To counter to the intense surface dynamic subsidence and deformation in the mining area field covered with thickalluvium, analysis was first made on the difference of the deep clay in alluvium with the bedrock in the mechanical properties,then linear correlation analysis was conducted on the geological and mining-related technical factors and regression analysis wascarried out on the surface dynamic subsidence and deformation parameters of the thick alluvium, and finally the validity andaccuracy of the prediction model was verified. The results showed that the larger difference of the deep clay and bedrock in theirstrength would undoubtedly lead to the intense surface subsidence and deformation in the mining area covered with thickalluvium; the major factor influencing the tangent value of the maximum surface subsidence velocity logging angle was thestrength of the overburden rock of the coal seam, and the major factor influencing the maximum surface subsidence velocity wasthe mining intensity of the working face; the prediction model of the surface dynamic subsidence and deformation parameters ofthe thick alluvium was more identical with the practice, the expected results were reasonable and reliable and had higherprediction accuracy. This model can provide reference basis for working up the prevention and control measures of the surfacestructures in the area covered by thick alluvium.
出处 《矿业安全与环保》 北大核心 2016年第5期70-73,共4页 Mining Safety & Environmental Protection
基金 国家自然科学基金项目(61340041) 河南理工大学博士基金项目(B2014-056)
关键词 开采沉陷 厚松散层 动态移动变形参数 多元线性回归预计模型 mining subsidence thick alluvium dynamic subsidence and deformation parameters multiple linearregression prediction model
  • 相关文献

参考文献12

二级参考文献80

共引文献291

同被引文献77

引证文献6

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部