改进Logistic函数模型在地表下沉预计中的应用  

Application of Improved Logistic Function Model to Prediction of Surface Subsidence

作　　者：席国军 洪兴[2] 邵红旗 

机构地区：[1]陕西彬长矿业集团有限公司胡家河矿业有限公司,陕西咸阳710065 [2]西安科技大学建筑与土木工程学院,陕西西安710054 [3]中国煤炭科工集团西安研究院,陕西西安710077

出　　处：《煤炭科学技术》2013年第8期114-117,128,共5页Coal Science and Technology

摘　　要：为了精确预计薄基岩厚松散层浅埋煤层开采引起的地表下沉,针对Logistic函数模型在浅埋煤层开采地表下沉预计应用中存在预计精度不高的缺陷,提出了Logistic函数模型的改进方法,得出了预计薄基岩厚松散层浅埋煤层开采引起地表下沉的表达式。工程实际应用结果表明:Logistic函数模型地表下沉预计值最大残差由改进前的340.2 mm减小至改进后的65.2 mm,且相对误差由原来的大于10%减少至10%以下,改进后的Logistic函数模型预计精度更高。In order to accurately predict the surface subsidence caused by shallow seam mining under the conditions of thin bedrock and thick loose layer, according to the defects of the Logistic time function model in predicting the surface subsidence caused by shallow seam mining, the authors put forward the improved Logistic time function model, and achieved the expression of the surface subsidence caused by shallow seam mining eventually.The practice results showed that the maximum residual value of the expected surface subsidence by improved Logistic model was reduced from previous 340.2 mm to 65.2 mm with traditional Logistic model. The relative error was reduced from over 10% to less 10%.The improved Logistic function model would have higher precision than traditional Logistic function model.

关 键 词：薄基岩厚松散层 浅埋煤层 改进Logistic函数模型 地表沉陷 

分 类 号：TD325[矿业工程—矿井建设]