| 采场顶板稳定性动态预测及控制研究 |
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| 引用本文： | 凌标灿,彭苏萍,孟召平.采场顶板稳定性动态预测及控制研究[J].工程地质学报(英文版),2003,11(1):44-48. |
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| 作者姓名： | 凌标灿 彭苏萍 孟召平 |
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| 作者单位： | 1.华北科技学院安全与工程系,燕郊101601; |
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| 基金项目： | 国家自然科学基金资助 (批准号 :40 172 0 5 9)，国家杰出青年基金 (批准号 :5 0 0 2 5 413 ) |
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| 摘 要： | 运用人工神经网络技术,综合岩石介质条件、赋存环境条件以及工程因素3大方面的5个指标,即岩石单轴抗压强度、岩石质量指标、煤体强度、地下水状况、工作面月推进速度,建立了采场顶板稳定性动态预测模型。并以工作面月推进速度40m、60m、80m、100m分别预测了新集井田顶板稳定性分区。根据5个指标因素分析结果,对顶板稳定性影响程度由大到小排序为岩石质量指标、地下水状况、岩石单轴抗压强度、煤体强度、工作面月推进速度。
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| 关 键 词： | 顶板稳定性 动态预测 顶板控制 综采工作面 |
| 文章编号： | 1004-9665/2003/11(01)-0044-05 |
| 收稿时间： | 2002-05-26 |
| 修稿时间： | 2002年5月26日 |
DYNAMICAL EVALUATION AND CONTROL OF THE ROOF STABILITY FOR LONGWALL TOP-COAL CAVING FACE |
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| Institution: | 1.North China Colleage of Science and Technology, Yanjiao 101601;2.China university of mining &|technology, Beijing 100083 |
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| Abstract: | Five indices of the medium conditions, occurence background, and engineering factors of rocks, such as uniaxial compressive strength, rock quality distribution, coal mass strength, groundwater status, and monthly advance of working face are used in establishing, the dynamical evaluation model of the roof stability with artificial neural network(ANN). The subzone of roof stability is forecasted from data of working face advance of 40m, 60m, 80m and 100m per month, respectively. The result of ANN analysis of 5 indeces shows the factors effecting on the roof stability in a sequence from high to low degree are rock quality distribution, groundwater status, rock uniaxial compressive strength, coal mass strength and face advance. The measures for controlling different types of roof stability are suggested pertinently according to above results. |
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| Keywords: | Toof stability Dynamical evaluation Roof control Longwall top-coal caving |
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