厚松散层薄基岩条带开采地表沉陷影响因素研究  

Influential factors on surface subsidence in stripe mining under thick unconsolidated layers and thin bedrock

作　　者：张文泉[1,2] 刘海林[2] 赵凯[2] 

机构地区：[1]山东科技大学矿山灾害预防控制省部共建国家重点实验室培育基地,山东青岛266590 [2]山东科技大学矿业与安全工程学院,山东青岛266590

出　　处：《采矿与安全工程学报》2016年第6期1065-1071,共7页Journal of Mining & Safety Engineering

基　　金：国家自然科学基金项目(51274132)

摘　　要：为了研究厚松散层薄基岩条带开采中采出率、采宽、基岩厚度、松散层厚度及采厚对地表沉陷的影响规律,基于FLAC^(3D)建立数值模型,分别改变上述5个因素模拟研究地表移动变形情况,探讨了以上因素对地表最大下沉值及下沉系数的影响规律。运用正交实验法对5个因素进行重要性排队,得出各因素对最大下沉值及下沉系数关联度排序,各因素对地表最大下沉值影响程度排序为:采出率>基岩厚度>松散层厚度>采宽>采厚。基于数值模拟结果借助MATLAB数学软件回归分析拟合得到地表最大下沉值及下沉系数与这5个因素的综合函数表达式。最后依据地表最大下沉值综合函数表达式对我国部分煤矿厚松散层薄基岩下条带开采进行地表沉陷预计,预计与实测结果表明此表达式具有较高的可信度。To study the influence rule of mining rate, mining width, bedrock thickness, loose rock thickness and exploiting thickness on surface subsidence, a numerical model was established based on FLAC^（3D）, and the influence rule of the above five factors on the maximum surface subsidence and subsidence coefficient was investigated through simulating the surface movement deformation by changing the above factors respectively. These five factors were sorted out according to their importance degree through orthogonal experiment, and their descending order concerning correlation to the maximum subsidence and subsidence coefficient has been obtained： mining rate, bedrock thickness, loose rock thickness, mining width, and exploiting thickness. With the results of numerical simulation, the comprehensive function expression between the maximum surface subsidence and these five factors was obtained by regression fitting on MATLAB mathematical software. At last, the surface subsidence in stripe mining under thick unconsolidated layers and thin bedrock in certain coal mines in China was predicted according to the expression; the expected and measured results showed that this expression had a high credibility.

关 键 词：厚松散层 薄基岩 条带开采 地表沉陷 数值模拟 正交实验 

分 类 号：TD822[矿业工程—煤矿开采]