多工作面影响下概率积分法参数拟合方法的探究

Parameter Matching of Probability Integral Method for Mining Subsidence Influenced by Multi-mining Faces

传统的概率积分法参数拟合方法仅仅考虑了单一工作面采动的影响,致使在这种情况下求参精度不高。为了提高求参的精度,分析了传统求参模型在工作面地表移动变形受多个工作面开采影响时所存在的问题,提出了多工作面影响下概率积分法求参的方法。实例分析表明,多工作面参数拟合方法对拟合精度的提高确有很大帮助,将拟合数据的精度由传统方法的141mm提高到67mm,提高了52.6%,从而提高了概率积分法的预测精度和适用范围。

Typical probability integral methods for mining subsidence prediction only consider single mining face ’ s influence , which result into low parameter precision .In order to improve parameter precision , this paper analyzed existing problems of typical methods in calculating parameters of surface movement and deformation influenced by multi -face mining and present the method for multi-face min-ing.Example analysis showed that the method could improve fitting precision from 141mm to 67mm, 52.6%improved.This method in-creased prediction precision of probability integral method and its applicable range .