Abstract Ground subsidence caused by mining is increasing day by day, and some enormous disasters have been brought. Some scholars have carried out some results by a single factor analysis, but did not consider the multi-working conditions, resulting in a certain deviation from the actual project. Accurate and effective prediction of subsidence caused by coal mining is an urgent problem to be solved. In this paper, the main factors affecting surface subsidence in mining area, which are coal seam thickness and mining depth, are studied by means of composite analysis method. At the same time, three-dimensional finite element method is employed to simulate different engineering conditions. According to the simulation maximum value settlements, fitting through MATLAB software, the corresponding predicted models are established. Comparing with the actual engineering survey data, it is proved that the settlement prediction curve is in good agreement with each other. This research has reference value for actual coal mine engineering and construction engineering.

中文翻译：

---

采矿引起的地表沉降预测

摘要 采矿引起的地面沉降日益严重，并带来了一些巨大的灾害。有的学者通过单因素分析进行​​了一些结果，但没有考虑多工况，导致与实际工程存在一定的偏差。准确有效地预测煤炭开采引起的沉降是一个亟待解决的问题。本文采用复合分析方法研究了影响矿区地表沉降的主要因素，即煤层厚度和开采深度。同时，采用三维有限元方法模拟不同的工程工况。根据仿真最大值沉降，通过MATLAB软件拟合，建立相应的预测模型。与实际工程勘察数据对比，证明沉降预测曲线吻合较好。本研究对实际煤矿工程和建设工程具有参考价值。