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煤矿开采动态地表下沉预计算法 被引量:3

Prediction algorithm of dynamic surface subsidence induced by underground coal mine
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摘要 针对煤矿地下开采造成岩层及地表移动随时空变化、开采时间与空间的变化对地表移动变形影响等问题,为准确预测开采过程中的地表移动变形,对开采沉陷的影响函数预计方法进行了理论分析与应用研究.应用数值积分方法,通过数学建模实现了开采沉陷预计系统.明确了开采沉陷动态移动变形模型的具体算法,提出了通过倾向微元化达到顾及主要影响半径随采深变化的方法,使得缓倾斜煤层的使用Knothe模型得以实现.应用VB开发了开采沉陷地表动态移动变形系统,并通过现场实测数据验证了动态预计算法的正确性. The movement of rock strata and surface movement is a complicated process with the change of time and space, and the change of time and space is very important to the surface deformation. In order to predict the surface movement and deformation accurately in the process of coal mining, this paper analyzed and studied the influence function prediction method of mining subsidence. By using the numerical integration method and mathematical modeling, the prediction system of mining subsidence is realized. The specific algorithm of mining subsidence dynamic movement and deformation model is obtained. This study proposed a method through the tendency of element to take into account the major radius of influence with the mining depth changes, and the gently inclined coal seam using Knothe model can be achieved. The dynamic deformation system of mining subsidence surface is developed by using VB, and the correctness of the algorithm is verified by the field test data.
出处 《辽宁工程技术大学学报(自然科学版)》 CAS 北大核心 2016年第10期1032-1036,共5页 Journal of Liaoning Technical University (Natural Science)
基金 山西省自然科学基金项目(2014011001-3)
关键词 开采沉陷 动态预计 影响函数 地表下沉 算法设计 mining subsidence dynamic prediction influence function surface subsidence algorithm design
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