文档介绍：西安科技大学
硕士学位论文
神东矿区开采沉陷主控因素及GA-WNN下沉系数预计模型研究
姓名:肖良
申请学位级别:硕士
专业:环境科学
指导教师:夏玉成
2011
论文题目:神东矿区开采沉陷主控因素及 GA-WNN 下沉系数预计模型研究
专业:环境科学
硕士生:肖良(签名)
指导教师:夏玉成(签名)
摘要
基于神东矿区具体地质条件,通过理论分析、借助计算机数值模拟、科学计算方法,
研究神东矿区开采沉陷的主控因素,将其引入到下沉系数的预计当中,推导出在一定开
采条件下沙基比、松散层厚度等地质因素与采煤沉陷下沉系数的预计关系式,并提出开
采沉陷下沉系数的 GA-WNN(遗传小波神经网络)预计模型。
根据神东矿区煤层赋存特点,借助模糊层次分析可知,神东矿区开采沉陷的主控因
素为:沙基比、松散层厚度、采厚、关键层的类型及位置、覆岩综合硬度,其影响权重
分别为:、、、、。
在神东矿区达到充分采动的情况下,若不考虑采矿因素,覆岩综合硬度与开采沉陷
下沉系数成反比关系;沙基比、松散层厚度与开采沉陷下沉系数成正比关系。在覆岩综
合硬度较难计算的情况下,可利用沙基比λ、松散层厚度χ对开采沉陷下沉系数η进行
预计,预计公式如下:
ηλ×−+= −2 χ
利用遗传算法(GA——ic Algorithm)优化小波(W——Wavelet)神经网络(NN
——work),建立开采沉陷下沉系数预计模型 GA-WNN,其预计结果与实际
观测值基本符合,精度较高,适用于神东矿区开采沉陷下沉系数的预计。
关键词:开采沉陷;主控因素;数值模拟;预计公式;遗传算法
研究类型:基础研究
Subject :Study on Main Controlling Factors and Prediction Models Base
on GA-WNN of Mining Subsidence Coefficient
Specialty :Enviormental Science
Name :Xiao Liang (Signature)
Instructor:Xia Yu-cheng (Signature)
ABSTRACT
According to gological conditions of Shendong mining area, the main controlling factors
of mining subsidence are selected and introduced into the models of mining subsidence
prediction by means of theoretical analysis, numerical simulations and scientific programs.
And the relation between subsidence coefficient and the main controlling factors are derived;
the Optimized Wavelet work based on ic Algorithm (GA-WNN) is applied to
the prediction of mining subsidence.
Using improved fuzzy analytical hierarchy process, the master-factors of mining
subsidence are selected as the ratio and thickness of losses bed, mining thick, comprehensive
hardness of cover rocks, the position and type of key stratum, each of whose weight are
、、、、.
Under the full minnig of the same intensity, subsidence coefficient is inversely
proportional prehensive hardness of cover rocks, and proportional to the ratio and
thickness of losses