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ID:29841831
大小:2.64 MB
页数:66页
时间:2018-12-24
《白家庄采煤沉陷预测及治理研究资源环境与城乡规划管理毕业论》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、白家庄矿采煤沉陷预测及治理研究摘要随着煤炭资源的开采,越来越多的土地因为采空区塌陷而遭到破坏,威胁到地表人群的生产生活安全,也对生态环境造成很大破环。因此有必要对采煤沉陷区进行预测、防治研究。本文以白家庄矿36703工作面上方的地表为研究对象,根据工作面上方顶板的地质采矿条件,分别采用概率积分法和三维快速拉格朗日有限差分法(FLAC3D数值模拟),对受开采影响的地表移动和变形进行静态和动态预测。获得了地表的下沉值、下沉范围。预测结果表明,在地表移动和变形预测方面,概率积分法和FLAC3D数值模拟都是可行的。作
2、为一种三维显式有限差分法的数值分析工具,FLAC3D在采煤沉陷模拟预测方面具有广阔的应用前景,其直观、动态的分析将丰富采煤沉陷移动与变形的研究。本文最后根据概率积分法和FLAC3D数值模拟的预测结果,结合矿区的实际,提出了土地复垦和生态重建的治理方法。对于沉陷治理工作,提出了要从源头防治的措施,应采用更合理的采煤方式防止沉陷发生。关键词:预测;概率积分法;FLAC3D数值模拟;地表移动和变形;土地复垦62AstudyofminingsubsidencepredictionandmanagementonBaji
3、azhuangcoalAbstractWiththeexploitationofcoalresources,anincreasingnumberoflandduetosubsidenceofmined-outareawasdestroied.Thesubsidenceseriouslythreatstothegroundproductiveandlifesafetyofpeople,butalsodestroiedecologicalenvironment.Therefore,itisnecessaryfor
4、miningsubsidencetoresearchpredictionandcontrolling.Thispapertakesgroundabove36073workingfaceofbaijiazhuangcoalasanexample.Accordingtothegeologicalandminingconditionsof36703workingface,itstaticanddynamicpredictsthedisplacementanddeformationofsurfacewiththepr
5、obability-integralmethodandFastLagrangianAnalysisofContinuain3Dimensions(numericalsimulationwithFLAC3D)respectively.Resultsofpredictionpointedoutthevalueofthegroundsubsidence,thesubsidencearea.Itshowsthattheprobability-integralmethodandnumericalsimulationwi
6、thFLAC3Darefeasibleonpredictingdisplacementanddeformationoftheground.But,asathree-dimensionalexplicitfinite-differenceanalysistool,theapplicationinsimulationandpredictionminingsubsidencehasbroadapplicationprospect.Itsvisualizedanddynamicanalysiswillberichin
7、thestudywhichpredictsthedisplacementanddeformationofminingunderground.Finally,accordingtothepredictedresultsoftheprobability-integralmethodandnumericalsimulationwithFLAC3D,thetreatmentofthelandreclamationandecologicalreconstructionwasused.Forcontrollingwork
8、ofsubsidence,thebetterwaystopreventthesubsidenceoccurredincoalminingisusingreasonableminingmethodstopreventsubsidencefromsource.Keywords:Prediction;Probability-integralmethod;NumericalsimulationwithFLA
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